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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience in Data Management or Data Integration or Data Domain, System Integration, Distributed Databases, SQL Pipelines.

Preferred qualifications:

Experience programming in Python.
Experience in writing and maintaining Extract, Transform, Load (ETL) that operate on a range of structured and unstructured sources.
Experience with large-scale data processing.
Experience with modeling business processes or real-world data sources.
Experience with setting and implementing data governance policies.
Excellent written communication, organizational, and problem-solving skills.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Quantum AI LabOS team is devoted to developing, maintaining, integrating and productionizing software for running the quantum hardware lab. This includes supporting quantum chip design, fabrication, operation, automation, observability, and tracking.

In this role, you will help us build data-powered decision-making tools, e.g., data pipelines, data warehouse, databases, data governance, etc. You will guide users in the Quantum Hardware Lab on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and troubleshoot potential platform issues.

This role may involve working with technical information that is export-controlled. Non-US persons would require an export license to do so (US citizens, lawful permanent residents, and certain protected individuals are considered “US persons” under applicable law).

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Design, develop and support data pipelines, warehouses, databases, reporting and visualization systems to solve operations and users problems, for both existing and new data, using a variety of traditional as well as large-scale distributed data systems.
Collaborate and influence users and stakeholders to ensure our data infrastructure meets constantly evolving requirements and data governance policies.
Work closely with research scientists and engineers to productionize analysis models using data processing pipelines. Recommend improvements and implement modifications to existing data models and ETL pipelines.
Write and review technical documents including design, development, and revision documents. Drive innovation with new analytical tools to gain more insight from data.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Goleta, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Software Engineer III, Quantum Computing Software, Quantum AI","datePosted":"2025-08-13","description":"

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
2 years of experience programming in Python.
Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch, or JAX).
Experience with Machine Learning.

Preferred qualifications:

Master's or PhD degree in Computer Science, Machine Learning, Quantum Computing, Physics, or a related field.
Experience with computer vision (e.g., image classification, object detection, segmentation).
Experience with MLOps practices and deploying models into research or production environments.
Experience with quantum computing concepts.
Experience with Large Language Models (LLMs) and their application, or knowledge in exploring their potential for scientific discovery.

About the job

As a Software Engineer on the Applied Machine Learning team, you will play a pivotal role in advancing quantum computing through innovative AI solutions.

Your work will span two key strategic areas:

AI-Powered Research Acceleration: Explore, develop, and implement novel applications of Gemini to significantly enhance our team's research productivity, streamline complex quantum workflows, and unlock new scientific insights.

Computer Vision for Quantum Hardware: Design, train, and deploy sophisticated computer vision and other machine learning models to optimize critical aspects of our quantum hardware. This includes improving device fabrication processes, enabling automated calibration, and performing robust quality control analysis.

You will contribute to projects within these focus areas, typically with 6-8 month iterative cycles, transforming research ideas into tangible applications that directly impact our quantum capabilities.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Develop and deploy innovative AI solutions, including leveraging Gemini, to significantly accelerate quantum research, streamline complex workflows, and unlock new scientific insights.
Design, train, and integrate advanced computer vision and other Machine Learning (ML) models to optimize quantum hardware fabrication, automate device calibration, and enhance quality control analysis.
Drive the full life-cycle of ML projects from feasibility studies and data preparation through iterative model development, rigorous bench-marking, and collaborative implementation to transform research ideas into tangible quantum advancements.
Participate in design for new features for ML infrastructure and projects.

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Job Description

We’re looking for a smart, adaptable Senior Software Engineer to help build and evolve our real-time data ingestion platform. You’ll work at the intersection of software engineering and data infrastructure, designing and maintaining scalable systems that stream high-quality, trusted data from Kafka to Snowflake via Snowpipe Streaming.

You’ll focus on data quality, observability, and pipeline reliability, helping develop robust monitoring and alerting systems. You’ll work closely with a collaborative team, contribute to architecture decisions, and help shape how data flows across Zendesk’s ecosystem.

Please read the role before applying. Note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based.

Key Responsibilities:

Design, build, and maintain data quality systems and pipelines.
Work with tools such as Snowflake, Docker/Kubernetes, and Kafka to enable scalable, observable data movement.
Collaborate cross-functionally to close skill gaps in DQ and data platform tooling.
Contribute to building internal tooling that supports schema validation, data experimentation, and automated checks.
Collaborate cross-functionally with data producers, analytics engineers, platform teams, and business stakeholders.
Own the reliability, scalability, and performance of ingestion systems deployed on AWS
Architect and build core components of our real-time ingestion platform using Kafka, Snowpipe Streaming.
Champion software engineering excellence — including testing, observability, CI/CD, and automation
Drive the development of platform tools that ensure data quality, observability, and lineage through Protobuf-based schema management..
Participate in the implementation of ingestion best practices and reusable frameworks across data and software engineering teams.

Core Skills:

Solid programming experience (preferably in Java)
Experience with distributed data systems (Kafka, Snowflake)
Familiarity with Data Quality tooling and concepts
Good working knowledge of SQL (especially for diagnostics and DQ workflows)
Experience with containerization (Docker, Kubernetes)
Strong debugging, observability, and pipeline reliability practices

What You Bring:

A systems mindset with strong software engineering fundamentals.
Passion for building resilient, high-throughput, real-time platforms.
Ability to influence technical direction across teams and drive alignment.
Strong communication and mentoring skills.
A bias toward automation, continuous improvement, and platform thinking.

Nice to Haves:

Experience with GenAI tools or supporting ML/AI data workflows
Familiarity with cloud-native data platforms (e.g., AWS, GCP)
Exposure to dbt or ELT frameworks

Why Join Us?

You’ll work with experienced engineers who value collaboration, pragmatism, and adaptability. We’re aiming to build resilient systems and a great team culture—not just implement buzzwords.

Please note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

","hiringOrganization":{"@type":"Organization","name":"Zendesk","sameAs":"https://www.zendesk.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India - Pune - Office","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Software Engineer III Data Engineering","datePosted":"2025-08-12","description":"

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within Corporate Enterprise Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and proficient applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies

\nJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
\n\n \n \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"GLASGOW, LANARKSHIRE, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Software Engineer (Data Engineering Team)","datePosted":"2025-08-18","description":"

Slingshot Aerospace is at the forefront of satellite observation and orbital determination technologies, using the latest in ground-based optical telescopes and advanced AI-powered processing algorithms. Satellite data is the lifeblood of the company, and as such, the Data Engineering team plays a critical role in ensuring its success, by managing and processing the observational data with as little latency and as high reliability as possible. We are looking for the best and brightest engineers to help Slingshot accelerate the security, safety, and sustainability of space by developing and maintaining state-of-the-art software and data pipelines that enable the optical tracking of satellites by Slingshot and its customers.

What You’ll Do:

As a software engineer working on the Data Engineering team, you will:

Build and maintain data processing pipelines using Databricks, a state-of-the-art AI-powered data platform.
Help design and build next-generation products that deliver Slingshot’s best-in-class satellite data and analytics to government and commercial customers around the world.
Contribute to the improvement, operations, and maintenance of the Slingshot Global Sensor Network (GSN)
Develop and maintain automated alerting systems, track and resolve software faults, and enhance software components across Slingshot’s tasking, collection, processing, exploitation, and dissemination pipeline.
Champion industry best practices and provide input into the strategy and technical planning of Slingshot’s software infrastructure and technology stack.

Position Responsibilities:

Execute all position responsibilities in alignment with Slingshot’s core values, mission, and purpose.
Build high-performance back-end software systems and front-end GUIs and dashboards through strong collaboration with fellow Slingshot team members.
Help architect and implement cutting-edge software systems running on cloud platforms and edge devices using industry best practices.
Engage with customers and stakeholders to ensure successful outcomes for their mission-critical needs.
Promote industry coding standards and best practices.
Develop and mature software to help automate and enhance optical sensor data tasking, collection, processing, exploitation, and dissemination.
Develop and maintain automated alerting systems.
Track and resolve software faults reported by fellow team members.
Support ongoing and future transitions of Slingshot’s products and services to the Slingshot GSN, to space operations centers, and to other technology testbeds.
Perform other duties as assigned (to be less than 10% of the responsibilities listed above).

Prerequisites:

Must be able to work remotely, including having adequate internet bandwidth to support video calling and software development activities.
Must be a U.S. citizen eligible for government clearances.

Minimum Requirements:

5+ years’ experience in software engineering
Bachelor’s degree in computer science or related technical field
Proficiency producing technical documentation, including written documents and technical drawings
Strong data management experience, including using and developing with databases such as: MongoDB, PostgreSQL, Databricks
Experience developing high-performance data transformation and processing software using such languages and frameworks as: Python, Spark, SQL, C/C++, Java, and JavaScript/TypeScript
Experience developing software running natively on Linux or in containers (Docker/Kubernetes) in cloud environments (preferably AWS)
Ability to work both independently and on teams, and to learn whatever technologies and platforms are required to complete assigned tasks
Self-starter mentality, including resolving blockers independently and escalating problems when necessary, and ability to work on a fluid and dynamic team with changing requirements
Strong written communication skills and attention to detail
Ability to travel up to 10% of the time

Preferred Skills:

Significant experience developing and debugging applications in Python and/or C++, including deployment experience in a Linux operating environment
Experience working in a remote startup environment on a high-performing engineering team
Experience investigating and debugging complex processes
Experience working for aerospace companies and/or working with aerospace data and data files
Experience setting up data ETL pipelines with Databricks and Apache Spark, or with other data environments
Experience optimizing software while balancing multiple outcomes, e.g. performance, data throughput, system load, and cost
Experience using and developing in Amazon Web Services (AWS)

Location: Remote continental US

Classification: Full-Time Exempt (Computer Employee Exemption)

Salary: $105,000 - $174,000

US-based Candidates: we are currently only able to hire residents of the following U.S. states: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, and WI. We are unable to consider candidates residing in other U.S. states at this time.

Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time.

Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

","hiringOrganization":{"@type":"Organization","name":"Seradata","sameAs":"https://www.seradata.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Staff Software Engineer, Data Engineering","datePosted":"2025-08-13","description":"

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

At Airbnb, we need to ensure every area of the business has trustworthy data to fuel insight and innovation. Understanding the business need, securing the right data sources, designing usable data models, and building robust & dependable data pipelines are essential skills to meet this goal.

We are currently hiring for the following teams:

Communication and Connectivity: This team builds systems and tools for stays, experiences, and beyond that support first class rich communications and connections among all members of the Airbnb community. We create scalable and intelligent communication tools, including messaging and notifications. The data team utilizes industry-leading tools, builds scalable data systems and applies AI models to provide insights and support all products in CnC.

Users, Listings, and Marketplace Data and AI: This team is a group of passionate machine learning, data, and analytics engineers responsible for creating new data products for our Guests and Hosts, Sales, and Finance. You’ll be part of the overall Guest and Host organization that is responsible for the Airbnb web and native apps used by hundreds of millions of our guests and Hosts.

Guest Data: Understanding how guests and hosts use Airbnb allows us to give them the best possible experience. The Guest Data team, part of the Guest & Host organization, is dedicated to developing top-tier tools, frameworks, and data models that offer a data-driven perspective on guest experiences on Airbnb products. Our primary stakeholders include analytics and data science partners, ML engineers, and product and engineering leaders involved in the core booking flow.

Community Support Data Platform: Community Support Platform organization keeps our hosts and guests supported throughout the entire Airbnb experience. The Data team is responsible for providing and governing trustworthy data foundations and metrics for critical data across experimentation, ML, measurement, product, and operational insights. Your work will empower ML and backend engineers, analytics teams, and operations teams while contributing to Airbnb's 10-Star customer service vision and initiatives like Differentiated Services and CSxAI.

Trust & Safety - The Trust and Safety team at Airbnb is at the forefront of creating a secure and trustworthy experience for hosts, guests, and the global community. Leveraging advanced technologies and proactive policies, they develop innovative tools to deter risks, uphold community standards, and safeguard user journeys—ensuring confidence and peace of mind for everyone on the platform.

The Difference You Will Make:

Communication and Connectivity: You will partner with a cross-functional team, including product managers, frontend/backend engineers, data scientists, and machine learning engineers, to influence and build company-wide product releases. You will develop innovative data systems to empower partners in making critical business decisions, enable product engineers to create scalable online systems with optimized user experiences, and collaborate with machine learning engineers to build AI/ML systems. Additionally, you will work with our global sales team to develop business tools that optimize their workflow, making a significant impact on Airbnb's revenue.

Users, Listings, and Marketplaces are core entities to Airbnb and the quality of the data fundamental to Airbnb’s product and business. We have been growing our Data Engineering practice in these areas to improve data foundation and better leverage our data and ML models in our product. You will help us define and realize our vision for trustworthy data across the company and our products, shaping Data Engineering for not just the Users, Listings, and Marketplaces team but also across Airbnb. We need to ensure every area of the business and our products has trustworthy data to fuel insight and innovation. Understanding the business and product need, securing the right data sources, designing usable data models, and building robust & dependable data pipelines are essential skills to meet this goal.

Guest Data: As a Staff Data Engineer, you will help build our data strategy, develop top-tier data models and tooling, and provide technical leadership to a team of senior data engineers. You have the opportunity to influence critical aspects of the Airbnb experience, including Search and Checkout, while collaborating with long-standing xfn partners across Product, Analytics Engineering, Data Science, Infrastructure, and AI/ML. Your work will impact the quality of the Airbnb product experience for millions of daily visitors, making it an exciting opportunity for anyone passionate about data and its transformative potential.

Community Support Data Platform: Community Support Platform organization keeps our hosts and guests supported throughout the entire Airbnb experience. The Data team is responsible for providing and governing trustworthy data foundations and metrics for critical data across experimentation, ML, measurement, product, and operational insights. Your work will empower ML and backend engineers, analytics teams, and operations teams while contributing to Airbnb's 10-Star customer service vision and initiatives like Differentiated Services and CSxAI.

Trust & Safety - You’ll play a key role in developing and scaling Data solutions that directly impact Airbnb’s ability to keep our platform safe. From productionizing critical logs to improving Data quality for ML models, your contributions will increase the reliability, efficiency, and impact of our trust defenses—helping millions of Hosts and Guests feel confident using Airbnb every day.

A Typical Day:

Architect and productionize batch and real-time data systems to support various products and business needs.
Ensure the quality, performance, and stability of data systems through robust quality systems and monitoring practices.
Design and optimize data models for efficient storage and retrieval to meet critical product and business requirements.
Collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on data requirements and develop scalable systems.
Tune, productionize, and optimize data systems and machine learning models to enhance their effectiveness and efficiency.
Build and maintain strong relationships with partner engineering teams, including backend, client, data science, and ML teams, to ensure seamless integration and support.
Contribute to the development of long-term data strategies and roadmaps, and influence the technical direction of data engineering practices within the organization.
Mentor and coach team members, providing guidance and support to enhance their skills and performance.

Your Expertise:

9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
Proven ability to design, productionize, and optimize batch and real-time data pipelines and systems, ensuring their quality, performance, and stability.
Excellent ability to collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on requirements and drive data-driven decision-making.
Advanced analytical and problem-solving skills with a focus on data quality, governance, and system reliability.
Exceptional written and verbal communication skills, capable of influencing stakeholders and conveying complex technical concepts effectively.
Expertise in data modeling, warehousing, and working with relational (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery).
Experience working with machine learning engineers to integrate ML models into data systems and products (preferred but optional).
Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of data engineering strategies.
Flexibility and innovative thinking to evaluate and incorporate new technologies and methodologies to improve data processes and solutions.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range$204,000—$255,000 USD","hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Facilities Lab Manager, Quantum AI","datePosted":"2025-08-18","description":"

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
1 year of experience with safety regulations and protocols in a research environment.
1 year of experience with maintenance of lab facilities with CDA, LN2, House Vacuum, Process Chilled Water, DI/RO Water Systems, Process Exhaust, Chemical Waste Systems and other hazards/chemicals.
1 year of experience overseeing electrical, mechanical, and plumbing construction in a research and development setting.

Preferred qualifications:

Experience with CAD software (e.g., Onshape, Solidworks, AutoCad, ProEngineer), carpentry machining, welding, brazing, soldering and other joining methods, power tools and CNCs.
Experience providing safety guidance for developing chemical processes, equipment, and laboratory design.
Experience troubleshooting vacuum, pneumatic, mechanical, electrical and software systems down to a block/board level.
Experience with electro-mechanical measurements (e.g., oscilloscopes, generators, calipers, etc.).
Experience in maintaining lab facilities infrastructure including PCW, CDA, N2, LN2 and HEPA filters and with lean manufacturing or 5S operations in labs.

About the job

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.

Google Quantum AI’s team mission is to make useful quantum computing tools available to the world to enable humankind to solve problems that would otherwise be impossible. Quantum AI is building novel systems that can leverage quantum mechanics to outperform the world's largest computers at certain classes of problems.

The Facilities Manager will oversee and coordinate facility build outs and equipment installations in a semiconductor fab. This consists of everything related to tools within the fab and the utilities that supply these tools. The fab is a class 1000 clean room with various tools supporting research, development and small manufacturing. Tasks associated with this role include fab layout and design for these tool installations and relocations. Daily activities include detailed interactions with various contractors to provide needed direction for pre-work, installation and start-up activities. This would include proper scheduling of the delivery, move in, installations and start-up of the equipment within the fab. This role requires an individual who can prioritize tasks while communicating with a wide range of internal and external stakeholders. The role often interfaces with contractors, research scientists, engineers and EHS teams.

The US base salary range for this full-time position is $113,000-$161,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Work with technicians and engineers on equipment and facility related projects, maintenance, shutdowns, and emergencies.
Support equipment installation by translating technical documentation and work with vendors to provide site-ready infrastructure.
Support the development and enforcement of operational procedures for laboratory safety and hazards.
Determine space planning of equipment with necessary utilities and support the infrastructure.
Assist the facilities team with following equipment maintenance procedures and service agreements in a high-tech environment.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Goleta, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Software Engineer - Data Engineering Team","datePosted":"2025-08-11","description":"

Description

About Solidus Labs

At Solidus, we are shaping the financial markets of tomorrow by providing cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets and crypto markets.

With over 20 years of experience in developing Wall Street-grade FinTech, our team delivers innovative solutions that financial institutions and regulators worldwide rely on to detect, investigate, and report market manipulation, financial crime, and fraud. Headquartered in Wall Street, with offices in Singapore, Tel Aviv, and London, we safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day.

The Role

We’re looking for a strong Software Engineer with Data Engineering experience. Someone who is proficient in building robust, scalable, maintainable and thoroughly monitored data pipelines on cloud environments.

As a young and ambitious company in an extremely dynamic space, we pride ourselves on being independent, accountable, and organized, have a self-starter attitude, and be willing to get their hands dirty with day-to-day work that might be out of their official scope, while keeping an eye on their goals and the big picture.

Responsibilities

Design and develop the data's team micro services - Java / Python services running on K8S.
Tackle data duplication, velocity, schema adherence (and schema versioning), high availability, data governance, and more.
Develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic, involving different data sources.
Enrich financial data through third-party data integrations.
Develop and maintain our data pipeline written mostly in Java and running on K8S in a micro-service architecture.
Plan and communicate integrations with other teams that consume the data and use it for insights creation.
Ongoing improvement of the way data is stored and served. Improve queries and data formats to make sure the data is optimized for consumption by a variety of clients.

Requirements

BSc. in Computer Sciences from a top university, or equivalent.
Strong background as a software engineer with at least 3+ years experience with Java.
5+ years in data engineering, and data pipeline development on high-volume production environments.
5+ years experience with monitoring systems (Prometheus, Grafana, Zabbix, Datadog).
Experience working in fintech, crypto or trading industries, and familiarity with FIX is an advantage
Experience in object-oriented development. Should have strong software engineering foundations.
Experience with data-engineering cloud technologies as Apache Airflow, K8S, Clickhouse, Snowflake, Redis, cache technologies and Kafka.
Proven experience with relational and non-relational DBs. Proficient in SQL and query optimizations.
Experience with designing infrastructure at scale to maintain high availability SLAs.
Experience with monitoring and managing production environments.
Curiosity, ability to work independently and proactively identify solutions. Strong communication skills.
Excellent verbal and written communication skills in a remote environment.

Benefits

\nNone","hiringOrganization":{"@type":"Organization","name":"Solidus Labs","sameAs":"https://www.soliduslabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, GB","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Software Engineer II - Python, Data engineering","datePosted":"2025-08-18","description":"

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Commercial & Investment Bank, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

Executes standard software solutions, design, development, and technical troubleshooting
Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Adds to team culture of equal opportunity.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Proficiency in programming languages (3+ years) such as Python for data processing and application development
Proficiency in data processing frameworks and tools (Parquet, PySpark, Glue, Lambda, AWS, Kinesis ,EMR, Athena, and Redshift)
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Experience across the whole Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Experience with scheduling tools to automate and manage job scheduling for efficient workflow execution

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies- AWS
Skilled in writing Oracle SQL queries utilizing (DML, DDL and PL/SQL)
Familiarity with ETL, Flink or Beam
Familiarity with Terraform

\n\n\n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n \n\n

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

\n\n

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Software Engineer - Data Engineering - Search & Discovery","datePosted":"2025-07-02","description":"

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

Why Discovery:

With Roblox’s daily active users growing at a record pace, we are seeking senior data engineers to join the Search & Discovery team in building the next generation of data and ML feature infrastructure that powers real-time content discovery and recommendation. Our team fuels some of the most used surfaces of the app, including Home, Search, Notifications, and more, through high-scale, high-throughput data systems that shape ML-driven personalization.

As a Senior Software Engineer on our team, you will architect and build foundational data pipelines, real-time streaming systems, and scalable feature computation frameworks. Your work will enable rapid experimentation, empower ranking models, and support personalized content delivery at massive scale. You will collaborate closely with engineers across ML, backend, and analytics to shape the future of search and discovery infrastructure at Roblox.

Our mission is to connect a billion users with the best content and connections at the right time. We tackle diverse challenges in data engineering, experimentation, and distributed systems, at an unprecedented scale and velocity.

You Will:

Build high-performance data pipelines and real-time streaming systems that support both online and offline ML features, training data and statistical computation at scale.
Design and scale robust data infrastructure for powering retrieval, ranking of various recommendation systems across major Roblox surfaces.
Ensure data systems are reliable, observable, privacy-compliant, and performant under heavy concurrency and high throughput.
Partner with ML and backend engineers to define scalable interfaces and enable rapid iteration for model development and experimentation.
Contribute to internal platforms and tools that abstract complexity, improve developer productivity, and accelerate innovation.

You Have:

6+ years of experience building and scaling backend systems with a focus on data pipelines, infrastructure, and big data technologies like Spark, Flink, Kafka, and Hive.
Proficiency in one or more programming languages such as C#, Go, Java, or Python, and experience managing compute at scale with Kubernetes.
Strong understanding of data modeling, privacy-aware data processing, and performance optimization in large-scale environments.
Experience building feature platforms or ML data pipelines in production environments.
A graduate degree or equivalent experience in Computer Science, Engineering, or a related technical field is a plus.

You Are:

Data & System Oriented: You understand that robust data is the foundation of great ML systems, and you design infrastructure for scale, correctness, and reliability.
Collaborative: You thrive in cross-functional teams, partnering effectively with ML, backend, and product engineers to solve complex challenges.
Curious & Creative: You enjoy tackling hard problems, exploring new technologies, and driving continuous improvements in both systems and workflows.
Impact Driven: You focus on outcomes - prioritizing product impact, reliability, and measurable success over code volume or complexity.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range$192,890—$238,520 USD

Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.

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About Us

Blueshift is a venture-funded startup headquartered in San Francisco. Our AI-Powered marketing platform empowers cutting edge B2C brands to drive 1:1 marketing on every channel. With Blueshift, marketers are in full control of automating various forms of personalised messaging across every engagement channel.

Blueshift is trusted by leading digital brands like Udacity, LendingTree, BBC, and Paypal to automate their customer engagement marketing and recognised by Gartner as a “Cool Vendor for AI in Marketing”.

Blueshift is founded by repeat entrepreneurs who previously built Mertado.com (acquired by Groupon to become Groupon Goods), and were part of the early team behind Kosmix (acquired by Walmart to become @WalmartLabs). We are backed by top-tier VCs including Nexus Venture Partners, Storm Ventures, Luma Partners, and SoftBank Venture Asia.

Blueshift is staffing its team in Pune, India. As part of Blueshift, you will get to work on a cutting-edge product using the latest technologies. This is an exciting opportunity for motivated individuals to build a great career.

Software Engineer II - Backend - Data Engineering

We are looking for passionate software engineers to join our Data Engineering team at Blueshift. In this role, you will contribute to building and maintaining high throughput, low latency data pipelines that ingest millions of user, product, and event data into our system — in both real-time and batch modes.

You'll work closely with experienced engineers to develop scalable, fault-tolerant infrastructure that powers our core personalisation and decisioning systems. Your work will include integrating with external systems and data warehouses to ingest and export data reliably.

You'll take ownership of key components and features, from design to deployment, and have the opportunity to grow your skills in system design, performance optimisation, and production monitoring. You'll work with modern technologies like Rust, Elixir, and Ruby on Rails, and gain hands-on experience building backend systems that operate at scale.

Responsibilities

Collaborate with the team to design, implement, and maintain data ingestion pipelines that handle both real-time and batch processing workloads.
Contribute to building and enhancing services that move and transform large volumes of data efficiently.
Develop new microservices and components to support data integration and platform scalability.
Work on integrations with third-party data warehouses and external systems for importing or exporting data.
Participate in efforts to improve the performance, reliability, and observability of existing data systems.
Assist in diagnosing and resolving data-related issues reported by internal teams or customers.
Engage in code reviews, knowledge sharing, and continuous improvement of engineering practices within the team.

Requirements

Bachelors/Masters in Computer Science or related fields.
2+ years of experience on building applications as a backend engineer.
Solid understanding of CS concepts including OOP, data structures, concurrency.
Solid understanding of relational databases and SQL.
Attention to detail, curiosity, proactiveness, willingness to learn, sense of ownership are critical - qualities to succeed at Blueshift.
Good communication and coordination skills.
Experience working on a public cloud like AWS/Azure/GCP will be an advantage.
Experience working on a modern language like Elixir/Rust/Golang will be an advantage.
Experience with NoSQL systems such as Cassandra/ScyllaDB, ElasticSearch, REDIS will be a great advantage.

Perks and Benefits

Competitive salary along with stock option grants.
Excellent hospitalisation, personal accident, and term insurance coverage.
Located in a top-notch facility in Baner - one of the best neighbourhoods for tech startups.
Daily catered breakfast, lunch, and snacks along with well-stocked pantry
A team that cares about you.

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Minimum qualifications:

PhD degree in Physics, Computer Science, Engineering, Quantum Information Science, or a related technical field or equivalent experience.
2 years of experience in Quantum Computing, Chemistry, Computational Physics, Mathematical Modeling, or Applied Mathematics.
Experience in noisy quantum systems, quantum noise modeling, and error mitigation/suppression techniques.
Experience with experimental operation of quantum systems.

Preferred qualifications:

Experience contributing to or leading projects within large-scale industry or scientific collaborations.
Experience in quantum protocols, characterization methods, and advanced error mitigation/suppression techniques.
Track record of impactful research publications in the field of Quantum Computing.

About the job

The Senior Research Scientist role focuses on pathfinding of practical leading techniques for quantum computations on Google’s processors.

In this role, you will bridge the gap between theoretical quantum protocols and real-world quantum computing by creating methods that accelerate and enhance performance on noisy quantum processors, and on early Quantum Error Correction (QEC) systems in the future. This includes theory, numerical modeling, and optimization of existing approaches and pioneering new ones for multi-stage quantum experiments to evolve.The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Research and develop methods for high-accuracy quantum computation on noisy practical systems, encompassing error mitigation, suppression, and robust quantum protocols. This involves developing theory, performing numerical modeling and simulations, and collaborating closely with experiments.
Validate and stress-test work in practical scenarios used by users and practitioners.
Collaborate effectively across theoretical and experimental teams to disseminate knowledge and facilitate technology transfer and development.
Innovate, patent, and publish research findings in peer-reviewed publications and present at conferences.

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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within Corporate Technology, you play a vital role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals.

Job responsibilities

Develop appropriate level designs and ensure consensus from peers where necessary.
Collaborate with software engineers and cross-functional teams to design and implement deployment strategies using AWS Cloud and Databricks pipelines.
Work with software engineers and teams to design, develop, test, and implement solutions within applications.
Engage with technical experts, key stakeholders, and team members to resolve complex problems effectively.
Understand leadership objectives and proactively address issues before they impact customers.
Design, develop, and maintain robust data pipelines to ingest, process, and store large volumes of data from various sources.
Implement ETL (Extract, Transform, Load) processes to ensure data quality and integrity using tools like Apache Spark and PySpark.
Monitor and optimize the performance of data systems and pipelines.
Implement best practices for data storage, retrieval, and processing
Maintain comprehensive documentation of data systems, processes, and workflows.
Ensure compliance with data governance and security policies

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Formal training or certification in AWS/Databricks with 10+ years of applied experience.
Expertise in programming languages such as Python and PySpark.
10+ years of professional experience in designing and implementing data pipelines in a cloud environment.
Proficient in design, architecture, and development using AWS Services, Databricks, Spark, Snowflake, etc.
Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform.
Familiarity with container and container orchestration technologies such as ECS, Kubernetes, and Docker.
Ability to troubleshoot common Big Data and Cloud technologies and issues.
Practical cloud native experience

Preferred qualifications, capabilities, and skills

5+ years of experience in leading and developing data solutions in the AWS cloud.
10+ years of experience in building, implementing, and managing data pipelines using Databricks on Spark or similar cloud technologies

\n\n

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Staff Software Engineer - Data Engineering (Adtech Team) Bangalore","datePosted":"2025-08-18","description":"

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Staff Software Engineer - Data Engineering (Adtech Team) Bangalore

About Warner Bros. Discovery:

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.

For more information, please visit www.wbd.com.

Meet our team:

The Ad Tech group works on building state-of-the-art Ad technology platforms and services that power the Discovery + and other digital services offered by Warner Bros. Discovery globally. We focus on all aspects of streaming video: live and VOD pipelines, metadata transformation, ad tech, server-side ad insertion, CDN integrations, playback services, video player backends, and AI/ML-based personalization.

What You’ll Do:

You will play a critical role in expanding and optimizing our data platform and reporting capabilities. You will work on the development of a scalable, high-impact, high volume data systems powering reporting and analytics for our advertising business. This is a multi-faceted role requiring expertise in backend service development, streaming and batch processing, and operational excellence. Your responsibilities will include:

· Design architecture and development of high-scale data pipelines and backend services for data processing and storage

· Work closely with product teams to understand data needs and translate them into reliable, performant systems.

· Design and implement batch and real-time processing pipelines using modern big data tools (e.g., Spark, Flink, Kafka, Airflow).

· Drive data modeling best practices to ensure consistent, extensible data definitions across the organization.

· Ensure data quality, correctness, and completeness through robust monitoring, validation, and testing strategies.

· Mentor junior engineers, foster engineering excellence, and help shape technical direction across the broader organization.

· Partner with infrastructure and platform teams to ensure systems are cost-efficient, observable, and resilient at scale.

· Develop and enforce data engineering, security, data quality standards through automation.

· Participate in supporting platform 24X7.

· Be passionate about growing a team - hire and mentor engineers

What to Bring:

· Bachelor’s degree in computer science or similar discipline

· 11 - 15 years of experience in software engineering, with a strong background in data-intensive systems

· Deep experience with distributed data processing frameworks (e.g., Apache Spark, Beam, Flink).

· Proficiency in one or more programming languages such as Java, Python, or Go.

· Strong understanding of data modelling, ETL best practices, and big data architecture.

· Experience building reporting pipelines or systems that support forecasting, attribution, reach/frequency, or audience measurement.

· Exposure to ML-based forecasting systems or time-series modelling.

· Expertise in building and managing large volume stream or batch processing platform is a must.

· Experience working with data warehousing solutions like Databricks.

· Practical knowledge of with CI/CD pipelines, preferably GitHub Actions Workflows.

· Experience with Microservice Architecture principles and implementations.

· Practical knowledge of containerization and orchestration platforms like Docker and EKS.

· Experience with cloud services, especially AWS, is highly desirable.

· Strong interpersonal, communication and presentation skills.

What We Offer:

· A Great Place to work.

· Equal opportunity employer.

· Fast track growth opportunities

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

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Lige nu leder vi efter en Beauty Advisor med kendskab til dufte og parfumer og som vil elske at sælge legendariske dufte fra Le Labo.

Er du en duftentusiast med passion for personlig service?

Vi søger en passioneret Beauty Advisor til Magasins inspirerende duftunivers, hvor der hver dag kommer kunder ind for at få en unik duftoplevelse blandt de mange luksuriøse dufte.

Vi forestiller os at vores nye kollega har:

Stor interesse i og erfaring med duft og parfume, og som elsker at inspirere kunderne igennem unikke serviceoplevelser.
Passion for at forkæle kunderne og elsker at sælge.
Et stort overblik og er på forkant med tendenser og nyeste trends inden for duftsammensætninger- og noter.
Fokus på at opnå resultater gennem aktiviteter, salg og ekstraordinære kundeoplevelser, som skaber glade og tilfredse kunder, som kommer igen.

Skal du med på holdet?

Som Beauty Advisor i Le Labos duftunivers bliver du en del af et engageret team, hvor vi løfter i flok og hjælper hinanden, når der er behov. Din arbejdstid er 37 timer om ugen. Fordelt på hverdagsvagter og weekender i vores åbningstid 10-20.

Vi ønsker os en ny kollega, der:

Har erfaring med salg og service fra skønhedsbranchen
Har indgående kendskab til dufte og parfumer
Er servicemindet, smilende, initiativrig og altid sætter kundens oplevelse i højsædet
Er struktureret ved praktiske driftsopgaver, som også er en del af hverdagens opgaver i afdelingen

Magasin som arbejdsplads:

I Magasin står vi stærkt på vores værdier Positiv Attitude, Stærk Holdånd og Godt Købmandskab. Du vil som medarbejder have adgang til mange dejlige fordele, herunder lækre rabatter. Din leder er altid klar til at sparre med dig i hverdagen og forventer samtidig også, at du tager ansvar og at du altid stræber mod at gøre dit bedste over for vores kunder og dine kolleger.

Vil du søge jobbet?

Du kan let og hurtigt sende din ansøgning, og vi håber på, at du også har lyst til at fortælle lidt om dig selv på en lille video.

Vi indkalder til samtaler løbende, så send din ansøgning snarest muligt.

Vi glæder os til at høre fra dig!

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Data Engineer _ Director_Software Engineering

Profile Description

Division IST Location Bengaluru

We’re seeking someone to join our team as Data Engineer as a part of our Institutional Securities_Technology, to will play a key role in helping transform how Morgan Stanley operates

Institutional Securities_Technology

Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST’s ‘clients’ include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.

Advisory & Sales Distribution

Advisory is responsible for end-to-end process life cycle support for Investment Banking, Global Capital Markets and Research with a focus on efficiency, scale, and time to market. Sales Distribution develops technology for the firm's IED and FID Sales and Distribution business units, creating application synergies across the businesses various platforms

Software Engineering

This is Director position that develops and maintains software solutions that support business needs.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

Strong hand-on experience of Snowflake keeping up to date with available latest features.
Strong hands-on experience on python programming language.
Strong hands-on experience on writing complex SQLs.
Strong understanding of how distributed platforms works.
Ability to develop, maintain and distribute the code in modularized fashion.
Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach
Basic understanding of Unix shell script and Unix OS platform
Excellent problem solving and analytical skill
Excellent verbal and written communication skills
Ability to multi-task and function efficiently in a fast-paced environment
Self-starter with flexibility and adaptability in a dynamic work environment
Good Understanding of Agile Methodology 5+ years of experience in Data Engineer role.
5+ years of experience in designing & building real time data pipelines and analytical solutions using big data and cloud technology ecosystem (Azure, Snowflake, Databricks etc)
Expertise with Data Lake/Big Data Projects implementation in cloud (preferably Azure+Snowflake)

What you’ll bring to the role:

Experience in Data Reporting Tools (preferably Business Objects)
Experience in Visualization Tools (preferably Power BI)
Financial Domain experience will be a plus

What you can expect from Morgan Stanley

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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Minimum qualifications:

Bachelor’s degree in Electrical Engineering or equivalent experience.
5 years of experience in custom PCB bring-up, testing, and hardware validation efforts, from planning through execution.
5 years of experience using lab measurement equipment such as spectrum analyzers, oscilloscopes, and network analyzers (e.g., Keysight).
Experience in electronic design and test.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering or equivalent experience.
Experience overseeing test and manufacturing by third party manufacturing partners.
Experience leading electronic test activities, either as an individual or within a team.
Expertise in electronic characterization techniques relevant to analog, mixed-signal, RF, and digital subsystems, with experience in on-wafer measurements.
Proficiency in generating detailed technical documentation.

About the job

The Quantum team's mission is to make quantum computing tools available to the world. The Quantum electronics team is carrying out a broad range of Research and Development (R&D) aimed at implementing quantum computers, with a long-term goal of realizing a fault-tolerant quantum computer.

In this role, you will be a member of the quantum electronics team, owning the test of our quantum control and measurement components and systems. You will work with hardware engineers to understand system architectures and using this understanding, you will develop detailed test plans which you will execute separately or with the assistance of others. You will develop test fixtures, including designing necessary electronics systems, to support these measurements. You will work with agreement manufacturers to establish test procedures for test and calibration of our control systems. You will document measurements through documents, presentations, or datasheets.

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Design custom electronic hardware to facilitate high-speed and comprehensive verification of test-equipment-grade quantum control systems containing analog, digital, and Radio Frequency (RF) subsystems.
Generate test plans for internal testing of analog/mixed-signal/RF components and assemblies and own execution of these test plans.
Own the design and development of automated testing platforms for use in production testing, including the design and fabrication of custom RF/analog test interface hardware where required.
Develop and execute upon hardware bench verification and reporting protocols, communicating hardware-under-test performance and compliance metrics to the larger quantum team.

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Minimum qualifications:

Bachelor’s degree in Electrical Engineering or equivalent practical experience.
5 years of experience in custom PCB bring-up, testing, and hardware validation efforts, from planning through execution.
5 years of experience using lab measurement equipment such as spectrum analyzers, oscilloscopes, and network analyzers (e.g., Keysight).
Experience in electronic design and test.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering or equivalent experience.
Experience overseeing test and manufacturing by third party manufacturing partners.
Experience leading electronic test activities, either as an individual or within a team.
Expertise in electronic characterization techniques relevant to analog, mixed-signal, RF, and digital subsystems, with experience in on-wafer measurements.
Proficiency in generating detailed technical documentation.

About the job

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Design custom electronic hardware to facilitate high-speed and comprehensive verification of test-equipment-grade quantum control systems containing analog, digital, and Radio Frequency (RF) subsystems.
Generate test plans for internal testing of analog/mixed-signal/RF components and assemblies and own execution of these test plans.
Own the design and development of automated testing platforms for use in production testing, including the design and fabrication of custom RF/analog test interface hardware where required.
Develop and execute upon hardware bench verification and reporting protocols, communicating hardware-under-test performance and compliance metrics to the larger quantum team.

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Senior Software Engineer (Java, Rest API and Data Engineering)

You are a detail-focused engineer who loves building elegant end-to-end solutions
We're embarking on an engineering transformation program and ready to push the boundaries  
Together we will build tomorrow’s bank today, using world-leading engineering, technology, and innovation

Do work that matters

We're building tomorrow’s bank today, which means we need creative and diverse engineers to help us redefine what customers expect from a bank. Envisioning new technologies that are still waiting to be invented and reimagining products that support our customers and help build a brighter future for Australia.

Here, you’ll get to turn your passion into reality, working with new technology on state-of-the-art projects to enable a seamless and unrivalled customer experience.

As a Software Engineer you will play a pivotal role in the team, working within a cross-functional squad responsible for the technical design, development, and rollout of CTC customer experiences. We are looking for someone to join our team who is passionate about creating transformative digital experiences who thrives in a collaborative environment and is constantly pushing the boundaries to help deliver outcomes that define future industry trends.

See yourself in the team

This role is in the ‘Trade Finance Squad’ in the Commodities, Trade & Carbon (CTC) crew. The Crew works with CBA's domestic and international trade and supply chain finance customers, providing specialist trade products and services to our Business and Institutional Banking customers. The squad's purpose is to provide leading digital experiences through safe, stable, scalable, and resilient platforms.

Key Responsibilities

Design and develop next-generation data platforms and pipeline solutions.
Build and maintain backend services and integrations using Java Spring Boot, ensuring performance, scalability, and security.
Collaborate with engineering peers to co-create and contribute to shared practices and frameworks.
Apply modern coding standards to deliver high-quality, reliable solutions that address core business needs and reduce risk.
Transform and process source data into data products and enable egression to other platforms.
Develop efficient Data Lake frameworks using Scala, PySpark, or Python, with robust data quality and security controls.
Create reusable libraries and config-driven pipelines for enterprise-wide ingestion and integration.
Ensure compliance with data governance and security standards using tools like AWS DataZone, Lake Formation, AWS Glue and MWAA
Communicate effectively with internal stakeholders and contribute to team knowledge sharing.

We’re interested in hearing from people who

Are proactive with a passion for building innovative data platforms.
Are collaborative and contributes to and learns from others.
Have strong communication skills, can engage with stakeholders across the organisation.
Are security-conscious, understands the importance of data management and governance.

Tech skills

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;

Strong experience in Java, Spring Boot, and RESTful API development.
Demonstrable in Python, SQL, Spark, and Scala for distributed data processing.
Working Experience with AWS services (e.g. S3, ECS, Lambda) and observability tools like Cloudwatch, Prometheus, or Grafana.
Experience with CI/CD tools such as GitHub, GitHub Actions, ArgoCD, and automated deployment pipelines.
Exposure to AI/ML technologies, with the ability to integrate or leverage AI models to enhance data processing, automation, or system intelligence
Experience using DevSecOps methodologies and best practice to automate deployments and testing.

Nice to Have

Demonstrable experience with AWS Glue, Lambda, Redshift, Athena, Kinesis, and EMR.
Exposure to AWS Marketplace, API Gateway, and data monetisation strategies.
Performance tuning of ETL jobs and query optimisation for cost efficiency.
Experience with Snowflake or Apache Iceberg.
Understanding of data product thinking and data mesh principles.

Working with us:

Whether you're passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations.

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We’re hiring engineers from across all of Australia and have opened technology hubs in Melbourne and Perth. We really love working here, and we think you will too. 

We support our people with the flexibility to balance where work is done with at least half their time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work in the role you’re interested in.

If this sounds like the role for you then we would love to hear from you. Apply today!

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

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At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on.

About the Role

Responsible for capturing data from various sources into the system for data analytics

•Apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources
•Build data collection frameworks for structured and unstructured data
•Build and maintain infrastructure systems such as data warehouses, data lakes and data access application programming interfaces (APIs)
•Define data standards, improve data efficiency catalogues and ensure data quality
•Responsible for other relating tasks as assigned to align with business policy and build long term business growth.
•Explore opportunity to improve work flow and build healthy environment
•Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

In accordance with recruitment policy and hiring standard of AIA (Thailand) Company Limited, after completing the selection process, you are required for criminal background check before joining the company. Your criminal record information will be retained according to the PDPA policy of the company. As per attached link
https://www.aia.co.th/th/about-aia/privacy/candidate

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

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The Member/Client Solutions and Banking Data Warehouse Department is responsible for the development and evolution of various applications linked to Desjardins Group’s data warehouse. As a Data Engineering Advisor, you help develop solutions for collecting, integrating, consolidating, cleaning, storing and mining data flows. You help develop, maintain, support and run computer applications and data pipelines, while ensuring the functional analysis, IT design, coding, fine-tuning and documentation of programs. More specifically, you will be required to :

Build and design data collection systems and platforms for a variety of initiatives.
Develop data pipelines, and integrate, transform and consolidate data from different systems in structures that are adapted to the context.
Implement, monitor, maintain and improve a wide range of systems that meet business needs.
Use various script languages and tools for storing and producing complex sets of data.
Identify opportunities to improve systems based on trends and behaviours, and recommend ways to enhance data management services.
Help develop procedures and document technical solutions. Prepare and deliver training for peers and users.

What we offer*

Competitive salary and annual bonus
4 weeks of flexible vacation starting in the first year
Defined benefit pension plan that provides predictable, stable income throughout retirement
Group insurance including telemedicine
Reimbursement of health and wellness expenses and telework equipment

*Benefits apply based on eligibility criteria.

What you bring to the table

Bachelor's degree in a related field
A minimum of four years of relevant experience in data warehouse development and maintenance
Please note that other combinations of qualifications and relevant experience may be considered
Knowledge of French required
Knowledge of ETL tools, ideally DataStage
Knowledge of Microsoft Azure
Knowledge of SQL
Knowledge of data warehouse modelling

#LI-Hybrid

Trade Union (If applicable)

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Data (FG)

Unposting Date

2025-08-15","hiringOrganization":{"@type":"Organization","name":"Desjardins","sameAs":"https://www.desjardins.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Complexe Desjardins Montréal, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Data Engineering Manager","datePosted":"2025-07-16","description":"

This is your chance to lead the charge in shaping the backbone of Virgin Red’s data capability. We’re looking for a passionate Data Engineering Manager to drive our technical vision, guide cross-functional teams, and power up the data platforms that keep our our loyalty products and systems ticking.

Our Virgin Family

Join the Virgin Group – a diverse collective driving change, enhancing customer experience, and having a blast. We're daring, disrupting industries from finance to space, united as part of the Virgin Family.

Virgin Red rewards customers who live the Virgin lifestyle. Earn Virgin Points across our vast partner network, unlocking everyday rewards and exclusive experiences. As the Virgin network hub, we foster deeper customer understanding, opening doors for partners. Bold, distinctive, customer-centric – that's Virgin Red.

We’re a huge brand, but not a huge team, which means we take a hands-on approach while thinking strategically. Everyone rolls up their sleeves to get things done, making it an exciting and collaborative place to work.

Tell me more

Lead, grow and support a team of up to 15 engineers across multiple squads, blending strategic direction with hands-on guidance.

Define and deliver a future-fit data engineering roadmap alongside our Principal Data Engineer.

Drive quality and innovation across our data platform, warehouse and pipelines – ensuring scalability, security and sustainability.

Keep engineering outcomes sharp and focused, balancing today’s delivery with tomorrow’s tech ambitions.

Collaborate across Product, Commercial and Marketing teams, aligning data capabilities with business impact.

Promote a culture of curiosity, inclusion and experimentation, with an eye on emerging AI opportunities.

What you’ll need

Strong technical know-how, particularly in Python, SQL, modern data stacks (Snowflake, DBT, Spark, Airflow) and cloud platforms like AWS.

Experience leading high-performing engineering teams with empathy and clarity.

A knack for building scalable data solutions and making strategic tech decisions without losing sight of day-to-day pragmatism.

Familiarity with CI/CD, DevOps, data governance and responsible AI practices.

Strong data modelling skills – e.g. dimensional modelling

Experience leveraging AI tooling to accelerate and automate tasks

Experience with Data Mesh practices is a plus

Confidence in setting direction, managing ambiguity, and bringing people with you – from engineers to execs.

Curiosity and courage to explore the new, while delivering the now.

The extra details

Role type: Permanent
Location: London hub (approx. 1-2 days per week) & your home space
Salary: £105,000 - £123,000 plus bonus - We're putting our salaries out there for everyone to see - no smoke and mirrors, just honest numbers. We'll offer a salary that matches your skills, always aiming for room to grow.
Working hours: Full time - We embrace flexible working. Let us know what hours empower you to be at your best both professionally and personally, we’ll try to find a perfect match for you and us.
Benefits: Buckle up for an adventure with Virgin! Our benefits package isn't just a list - it's your ticket to an extraordinary career and life. Imagine unlimited leave for your globe-trotting dreams, a \"Screw it, let's do it pot\" to enjoy being you, and a learning budget to fuel your curiosity. We've got your back with top-notch health care, family support that goes the extra mile, and a pension plan to keep your future bright. From electric vehicles to flexible volunteering, we're not just offering a job - we're inviting you to join a community that celebrates your whole self.

Closing date: 28 July 2025

Some of the attributes that define a Virgin person just can’t be quantified in words. We pride ourselves on welcoming people from all walks of life, with all sorts of skill sets. Most recently, we successfully campaigned to add ‘Dyslexic Thinking’ as a skill on LinkedIn. We truly value passion for Purpose and Sustainability, welcoming creative thinkers and innovators. Any uniqueness is a strength and will be considered an asset to our workforce. If there is something you would like us to consider, to tailor the hiring process to the way you work best, please don’t hesitate to let us know. 

Ready to turn your career into the ultimate adventure? Virgin's got the map, the compass, and the crew. Your great adventure awaits!

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JOB DESCRIPTION

THE BIG PICTURE

Sysco LABS is the captive innovation arm of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco is a Fortune 500 company and the global leader in selling, marketing, and distributing food products to restaurants, healthcare, and educational facilities, lodging establishments and other customers who prepare meals away from home. Its family of products also includes equipment and supplies for the foodservice and hospitality industries. With more than 76,000 colleagues, the company operates 334 distribution facilities worldwide and serves approximately 730,000 customer locations. For fiscal year 2024 that ended July 1, 2024, the company generated sales of more than $78.8 billion.

Operating with the agility and tenacity of a tech–startup, powered by the expertise of the industry leader, Sysco LABS is perfectly poised to transform one of the world’s largest industries.

Sysco LABS’s engineering teams based out of Colombo, Sri Lanka and Austin and Houston, TX, innovate across the entire food service journey – from the enterprise grade technology that enables Sysco’s business, to the technology that revolutionizes the way that Sysco connects with restaurants and the technology that shapes the way those restaurants connect with customers.

Sysco LABS technology is present in the sourcing of food products, merchandising, storage and warehouse operations, order placement and pricing algorithms, the delivery of food and supplies to Sysco’s global network, the in-restaurant dining experience of the end-customer and much more.

THE OPPORTUNITY

We are currently on the lookout for a Data Engineer to join our team.

RESPONSIBILITIES

Designing and developing data solutions for one of the world’s largest corporations involved in the marketing and distribution of food products

Implementing distributed and highly available data processing applications that scale for enterprise demands

Adhering to Continuous Integration and Continuous Delivery of solutions

Ensuring high code quality by following software engineering best practices

Working collaboratively in a cross-functional team in an Agile delivery environment

Adhering to DevOps principles and being involved in projects throughout their full software lifecycle: from development, QA, and deployment, to post-production support

REQUIREMENTS

A Bachelor’s Degree in Computer Science or equivalent, and 1-2 years of experience in developing enterprise grade data processing applications

A strong programming background in data ops (Python, Shell, SQL)

Experience in processing large volumes of data

Hands-on experience working with relational/NoSQL databases and distributed storage engines (HDFS, S3, Redshift)

Hands-on experience in ETL design and development using ETL tools (Preferably Informatica and cloud tools such as AWS Data Pipelines, Glue, Lambda, EMR, Spark, Hive)

Experience in working with streaming data (using tools such as Kenisis, Kafka, Storm, Spark) will be an added advantage

Experience in API development and user interfaces and related tools (NodeJS, AngularJS, HTML) will be an added advantage

Experience working in a Scrum Agile delivery environment and DevOps practices

Experience in code management and CICD tools such as Github, Gitlab and Jenkins

Experience in an agile environment and aligning Pod members on technical visions and path to implementation

A strong desire to continue to grow your skillset

Strong communication skills that are influential and convincing

BENEFITS

US dollar-linked compensation 

Performance-based annual bonus 

Performance rewards and recognition 

Agile Benefits - special allowances for Health, Wellness & Academic purposes 

Paid birthday leave

Team engagement allowance 

Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws 

Overseas travel opportunities and exposure to client environments 

Hybrid work arrangement 

Sysco LABS is an Equal Opportunity Employer.

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Tractive is the most trusted name for keeping cats and dogs safe and healthy. The secret to our success? A team of truly unique individuals who care about each other just as much as going the extra mile for pet parents. Want to be part of our story? Check out this role and see if you’re a good match!

Your territory

As part of our Data team, you will:

Lead an enthusiastic team of data engineers who build highly reliable, large-scale data pipelines, enabling fast, trustworthy insights and data-driven decisions across Tractive
Oversee the architecture and quality of our data systems, ensuring they are secure, observable, cost-efficient, and built to scale with millions of pet-location events per minute
Collaborate closely with your team, analysts, scientists, other engineering teams and stakeholders to ensure data considerations are built in from first design to final rollout
Set the team’s vision and roadmap together with your team, translating company goals into a clear backlog of near-term deliverables and longer-term strategic initiatives - while balancing priorities across Product, Analytics, and Engineering
Foster continuous growth with one-on-one guidance, open feedback, and thoughtful code reviews that amplify each engineer's strengths
Bring in your fresh ideas to make Tractive better - you’ll never hear the phrase “...because that’s how we’ve always done things”
Continuously grow personally and professionally, take ownership of areas that show your potential, and attend workshops which help you get to the next level

Your profile

Key requirements:

Proven experience in leading and mentoring high-performing data engineering teams, with clear examples of talent growth, fostering collaboration and delivering success
Several years of experience in designing and operating cloud-native data platforms and pipelines at scale on AWS, GCP, or Azure
Strong programming skills in Python and SQL and a solid understanding of modern software architectures, design patterns, and best practices
Excellent project management and communication skills; able to balance strategic vision with hands-on execution while collaborating across Product, Analytics, and Engineering
Hands-on proficiency with Infrastructure as Code (Terraform, CloudFormation, or CDK) and container orchestration
Deep understanding of data lakehouse architectures, event streaming, and performance tuning for large-scale workloads
Practical knowledge of data governance: data contracts, cataloging, lineage, access controls, and GDPR-grade retention policies
Experience in implementing monitoring, alerting, and cost-optimization strategies for data pipelines and storage
A proactive, solution-oriented mindset, driven by results and keen on continuously improving processes and tools
Very good English skills.

Does this sound like you?

Architecting and operating high-scale cloud data solutions excites you - especially when it means transforming massive pet-tracking streams into fast, trustworthy insights
Thriving in fast-paced, dynamic environments comes naturally, and you enjoy taking ownership of complex, impactful projects
Leading people, fostering team spirit, and helping others grow is something you find deeply rewarding
Data quality, security, and governance aren’t just buzzwords to you - they're foundational. Reliable data is non-negotiable in your book
Excited to work in Austria alongside an outstanding team

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The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job will design and implement data systems to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data engineering, ensuring data quality, and mentoring junior engineers.

Job Description:

Essential Responsibilities:

Lead and manage data engineering projects, ensuring timely delivery and alignment with business goals.
Develop and maintain data architectures and pipelines to support data analysis and decision-making.
Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
Collaborate with cross-functional teams to understand data needs and provide actionable insights.
Ensure data quality and integrity through regular audits and validation processes.
Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.

Minimum Qualifications:

Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Educational Background: Master’s degree in Computer Science or a related field with 8+ years of total experience; or a Bachelor's degree with 10+ years of directly relevant work experience.
Cloud Proficiency:
- Hands-on experience with at least one major cloud platform – Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
- Understanding of cloud-native architecture, including scalability, availability, performance, and reliability within highly regulated environments such as Financial Services.
Team Leadership:
- 4+ years of experience leading and managing high-performing, self-organizing engineering teams.
- Strong emphasis on mentoring, coaching, and enabling teams in cloud-based solution delivery.
Software Engineering & Cloud Development:
- Proven experience in full-stack development with a focus on building RESTful APIs.
- Proficient in back-end programming languages such as Java, Python, C#, and front-end frameworks like React, Angular, Node.js.
- Experience with database technologies (Oracle, MySQL, PostgreSQL) and web servers (e.g., Apache) in cloud-hosted environments.
DevOps & Security:
- Passionate about software quality, with experience in Secure Development Lifecycle (SDL) practices.
- Familiarity with CI/CD pipelines, infrastructure-as-code, and cloud security best practices.
Adaptability & Communication:
- Ability to thrive in dynamic, fast-paced environments and adapt to new technologies and business needs.
- Strong communication skillsverbal and writtenfor collaborating across cross-functional teams and stakeholders.

Subsidiary:

PayPal

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com.

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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JOB TITLE & Employer Name: Manager, Data Engineering for Affinity Plus Federal Credit Union

LOCATION: 175 West Lafayette Frontage Rd, St. Paul, MN 55107

JOB DUTIES: A Data Engineering Manager is responsible in leading a team of data engineers & MDM architects within our Enterprise Digital Intelligence (EDI) team. The role is accountable for identifying skill gaps and leading team members in developing these skills. Additionally, the Data Engineering Manager takes the lead designing &building data pipelines to transform & manage data as it flows from the data lake and into end-user facing applications. The role requires someone who has experience leading others & deep experience in building, automating and deploying data pipelines and workflows as well as building architecture for master data management. This position is open to telecommuting from anywhere in the United States. Supervise Direct Employee: 15-1299.08: Computer Systems Engineers/Architects; 15-2051.00: Data Scientists

REQUIREMENTS: Bachelor's or foreign equivalent in Computer Science or Applied Computer Science or MIS or closely related technical field and five (5) years of post bachelor’s progressive experience as a Big Data Specialist, Sr. Software Engineer, or related occupation.

Experience must include five (5) years post bachelor’s experience in all of the following:

Application analysis, design, software development, systems implementation, and package integration including Scala, Spark, Java, Python or IL
Experience with Oracle EBS General Ledger, Finance Accounts Payable modules and SAP Supply Chain, Materials Management and Asset management
Experience in developing technical architecture, data engineering methods and MUM (Master Data Management) solutions.
Experience with design and development of advanced cloud computing solutions on Cloud technologies (AWS, Azure, Oracle and IBM)
Experience with big data frameworks (Apache Spark, Apache Flink, etc.) and building data lakes, Lakehouse and ELT / ETL (Informatica, ODI) solutions
Experience with backend infrastructure for code migrations and leveraging CI/CD pipelines.

SALARY: $171,197 /year

Affinity Plus offers a comprehensive Total Rewards package that goes beyond base pay. In partnership with the State of MN Employer Group, Affinity Plus provides low-cost medical, dental and vision insurance coverage options. Additionally, Affinity Plus frontloads all sick time hours and a portion of vacation hours for all new employees, offers a variety of paid leave options, a monthly wellness benefit, and immediate 401K matching up to 5%. Our Total Rewards philosophy is designed to support your well-being and growth while fostering a fair and inclusive workplace.

CONTACT: Apply at https://www.affinityplus.org/careers

Indicate Req. DATAE003466 when applying

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Company Description

Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories (collectively, the “Deloitte organisation”) serves four out of five Fortune Global 500® companies. Learn how Deloitte’s approximately 457,000 people make an impact that matters at www.deloitte.com.

Deloitte Consulting — Our Culture

Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’ most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help lead in the markets where our clients compete.

Are you a game changer? Do you believe in adding advantage at every level in everything you do? You may be one of us.

Deloitte Consulting is growing, with a focus on developing our already powerful teams across our portfolio of offerings. We are looking for smart, accountable, innovative professionals with technical expertise and deep industry experience insights. The combination of our 6 areas of expertise, our well-developed industry structure and our integrated signature solutions is a unique offering never seen before on the African continent.

Deloitte Consulting - AI & Data

Be at the forefront of the revolution.

AI-enabled technologies are shaking business foundations. Some find this daunting. We see opportunity—for clients, societies, and people.

Deloitte’s AI & Data Specialists partner with clients to leverage AI and reach new levels of organisational excellence. We turn data into insights, into action—at an industrial scale.

Join us as we enable clients to grasp the future and reach new heights. Learn from the best in the field to create solutions blending data science, data engineering, and process engineering with our industry-leading expertise.

Ready to shape the future?

Join us to reimagine what's possible with data. At Deloitte, your engineering leadership will drive outcomes that matter — not just pipelines, but real-world transformation.

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Join us. Shape the future. Win big

Job Description

As a Data Engineering Manager, you will lead the design, build, and scale of enterprise-grade data infrastructure and pipelines to power advanced analytics, AI solutions, and AI transformations across Tier-1 clients on the African continent. You will work at the intersection of business strategy and technical delivery, guiding multidisciplinary teams to enable data-driven decision-making and measurable business impact.

You will be responsible for:

Architecting scalable, secure, and high-performance data platforms
Leading the design and development of robust ingestion, transformation, and governance pipelines
Managing project timelines and deliverables across diverse industry engagements
Coaching data engineers and analysts to deliver client-ready solutions
Collaborating with AI/ML specialists, solution managers, and client stakeholders to translate strategic needs into modern data capabilities

Key Responsibilities

Lead and own data engineering workstreams across AI transformation, analytics modernisation, and digital core rebuilds
Design and implement data pipelines using modern architectures (e.g., Delta Lake, Data Mesh, Data Lakehouse)
Drive data modelling, data quality, and metadata management best practices aligned to business KPIs
Build, manage, and scale cloud-native data infrastructure (e.g., on AWS, GCP, Azure)
Mentor junior engineers, oversee code reviews, and ensure delivery quality to tier-1 consulting standards
Translate business and industry requirements into scalable data engineering solutions
Partner with AI, strategy, and business consulting teams to deliver end-to-end data value realisation

Qualifications

Bachelor’s Degree in Data Science, Engineering or related Degree
Post Grad Degree in Data Science Engineering or related Degree,
Data related Cloud Certifications

Additional Information

8–12+ years of experience in data engineering, with at least 2 years in a team leadership or technical management role
Proficient in building modern ETL/ELT pipelines using tools like Apache Spark, DBT, Kafka, Airflow
Strong programming skills in Python and SQL (Scala/Java a plus)
Deep experience with cloud data ecosystems (e.g., AWS Redshift/Glue, GCP BigQuery/Dataflow, Azure Synapse)
Strong understanding of data warehousing, data lakes, streaming, and batch architecture
Experience with CI/CD for data, testing frameworks, and infrastructure-as-code (Terraform, etc.)
Familiarity with data governance and security frameworks in regulated industries (e.g., FSI, healthcare)
Previous experience in a top-tier consulting environment or client-facing data role
Exposure to AI/ML deployment pipelines, MLOps, or analytics productisation
Experience in delivering data modernisation programs at enterprise scale
Cross-industry knowledge with a focus on FSI, Telco, Consumer, or Healthcare

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.

Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information.

To help you look out for potential recruitment scams, here are some Red Flags:

Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks, job training, or supplies.
Requests for Personal Information: Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process.
Unprofessional Communication: Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand.

If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email.

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Career Category

Information Systems

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Manager Data Engineering

What you will do

Let’s do this. Let’s change the world. In this vital role you will lead and scale an impactful team of data engineers. This role blends technical depth with strategic oversight and people leadership. The ideal candidate will oversee the execution of data engineering initiatives, collaborate with business analysts and multi-functional teams, manage resource capacity, and ensure delivery aligned to business priorities. In addition to technical competence, the candidate will be adept at managing agile operations and driving continuous improvement.

Roles & Responsibilities:

Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies.
Design, develop, and implement robust data architectures and platforms to support business objectives.
Oversee the development and optimization of data pipelines, and data integration solutions.
Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
Architect and manage cloud-based data solutions, using AWS or other preferred platforms.
Lead and motivate an impactful data engineering team to deliver exceptional results.
Identify, analyze, and resolve complex data-related challenges.
Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions.
Stay abreast of emerging data technologies and explore opportunities for innovation.
Lead and manage a team of data engineers, ensuring appropriate workload distribution, goal alignment, and performance management.
Work closely with business analysts and product collaborators to prioritize and align engineering output with business objectives.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years computer science and engineering preferred, other Engineering field is considered
Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning.
Proven ability to lead and develop impactful data engineering teams.
Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
Strong communication skills for collaborating with business and technical teams alike.

Preferred Qualifications:

Experienced with data modeling and performance tuning for both OLAP and OLTP databases
Experienced with Apache Spark, Apache Airflow
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
Experienced with AWS, GCP or Azure cloud services

Professional Certification:

AWS Certified Data Engineer preferred
Databricks Certificate preferred

Soft Skills:

Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals
Strong presentation and public speaking skills.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Manager, Data Engineering

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do:

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

Bachelor’s Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 2 years of people management experience

Preferred Qualifications:

7+ years of experience in application development including Python, SQL, Scala, or Java
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
4+ year experience working on real-time data and streaming applications
4+ years of experience with NoSQL implementation (Mongo, Cassandra)
4+ years of data warehousing experience (Redshift or Snowflake)
4+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices

At this time, Capital One will not sponsor a new applicant for employment authorization for this position

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Job Category

Data Analytics, Technology

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$135,700.00 - $223,900.00

Target Openings

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineering Director you will accelerate growth and transformation of our analytics landscape. In this role, you will lead teams designing and building data solutions that capture, explore, transform and utilize data for the team members supporting Enterprise Underwriting, they will be helping to reinvent global underwriting analytics at Travelers. They will be curating the data to support the proverbial cockpit controls in an airplane that senior leaders will use to make underwriting decisions at Travelers. In addition to ingesting data from multiple sources and relaying information to relevant partners, you will also mentor and develop a team of data engineers.

What Will You Do?

Lead development of analytic data products, including pilots and proof of concepts.
Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
Manage the operationalizing and automating of all capabilities to ensure secure, supported and scalable solutions.
Present analysis and recommendations to help influence management decisions.
Guide and coach team members to accelerate career development.
Establish team processes and procedures.
Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
Perform other duties as assigned.

What Will Our Ideal Candidate Have?

Bachelor’s Degree in STEM related field or equivalent
Five or more years of related experience
Two or more years of management experience, with experience building engineering teams from the ground up.
Advanced knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.
Experience with some of the following tools & platforms (or similar): AWS (s3, Lambda, Kinesis, API Gateway, IAM, Glue, SNS, SQS, EventBridge, EKS, VPC, Step Functions, ECS/EKS, DynamoDB, etc.), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault / AWS Secrets Manager, Docker / OpenShift / Open Cloud Foundry, MongoDB, Docker, BlackDuck, SonarQube.
Knowledge and experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing/Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.

What is a Must Have?

Bachelor’s degree or equivalent training with data tools, techniques, and manipulation.
Five years of data engineering or equivalent experience

What Is in It for You?

Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.

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Career Category

Engineering

Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

We are seeking a seasoned Senior Data Engineer to drive the development and implementation of our data strategy. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Senior Data Engineer, you will play a crucial role in designing, building, and optimizing our data pipelines and platforms while mentoring junior engineers.

Roles & Responsibilities:

Contribute to the design, development, and implementation of automations to monitor our data and cloud platforms for reliability, cost, and maintenance.
Take ownership of platform management, managing scope, timelines, and risks.
Ensure data quality and integrity through rigorous testing and monitoring.
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
Work closely with data analysts, data scientists, and business stakeholders to understand data requirements.
Identify and resolve complex data-related challenges.
Adhere to data engineering best practices and standards.
Stay up-to-date with the latest data technologies and trends.
Execute POCs on new technologies to advance the capabilities and deliveries in our data strategy.

Basic Qualifications

Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years [in Computer Science

Functional Skills:

Must-Have Skills:

Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP) and the ability to architect cost-effective and scalable data solutions.
Proficiency in Python, PySpark, SQL. Hands-on experience with big data ETL performance tuning.
Strong analytical and problem-solving skills to address complex data challenges.
Manage and administered cloud-based environments such as (AWS, Azure, GCP) and data platforms (Databricks, Snowflake)
Experiencing working with troubleshooting cloud environment issues (networking, virtual machines)
Effective communication and interpersonal skills to collaborate with cross-functional teams.

Good-to-Have Skills:

Experienced with data modeling and performance tuning for both OLAP and OLTP databases
Experience with administering lifecycle and platform management policies on usage of cloud resources
Experienced working with Apache Spark, Apache Airflow
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
Experienced with AWS, GCP or Azure cloud services

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

.","hiringOrganization":{"@type":"Organization","name":"Amgen","sameAs":"https://www.amgen.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India - Hyderabad","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Analyst - Data Engineering","datePosted":"2025-08-06","description":"

About this role

Data is at the heart of Aladdin and increasingly the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. The DataOps Engineering (DOE) team is responsible for the data ecosystem within BlackRock. The Market Data team within DOE builds and maintains leading-edge data platforms that provides highly available, consistent market data of the highest quality for all users of the platform - notably investors, operations teams, and data scientists. We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin.

Data Pipeline Engineers at BlackRock get to experience working at one of the most recognized financial companies in the world while being part of a software development team responsible for next generation technologies and solutions. Our engineers design and build large scale data storage, computation, and distribution systems. Engineers looking to work in the areas of data acquisition, ETL Workflow orchestration, data modeling, data pipeline engineering, Rest APIs, relational databases, and data distribution are ideal candidates.

Responsibilities

Data Pipeline Engineers are expected to be involved from inception of projects, understand requirements, architect, develop, deploy, and maintain data pipelines on our modern data platform while constantly working towards improving platform performance and scalability.

Deployment and maintenance require close interaction with various teams within the Aladdin developer community. Creative and inventive problem-solving skills for reduced turnaround times are highly valued.

Design and build scalable data pipelines in the market data space to process large datasets efficiently
Develop and maintain ETL processes to integrate data from multiple sources into centralized data warehouses
Monitor and maintain data systems, ensuring data accuracy, consistency, and reliability.
Work alongside program managers, product teams and business analysts throughout the SDLC cycle
Provide L2 or L3 support for technical and/or operational issues encountered
Conduct end-to-end UAT tests to ensure production operations run successfully
Prepare user documentation to maintain both development and operations continuity.
Lead process engineering for a data pipeline engineering area.
Contribute on design decisions for complex systems.
Take responsibility for work beyond assigned tasks and take emotional ownership of projects.

Essential Skills

Bachelors’ degree in Computer Science or equivalent practical experience
At least 3+ years’ experience as a software engineer
Experience in Python, Unit/Integration/Functional testing
Experience in SQL, PL/SQL programming, Stored procedures, UDFs
Experience / Familiarity with Database Modeling, Normalization techniques
Experience / Familiarity with object-oriented design patterns
Experience with dev ops tools for CI/CD like Git, Maven, Jenkins, Gitlab CI, Azure DevOps
Experience with Agile development concepts and related tools (e.g. ADO, Jira, etc.)
Ability to trouble shoot and fix performance issues across the codebase and database queries
Excellent written and verbal communication skills
Passion for learning and implementing new technologies
Ability to operate under fast-paced environment

Desired Skills

Experience in Cloud Native Services (AWS/Azure)
ETL background in any language or tools
Experience with Snowflake or other Cloud Data warehousing products
Exposure with Workflow management tools such as Airflow

\nFor Atlanta, GA Only the salary range for this position is USD$99,750.00 - USD$120,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.\n

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.","hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://www.blackrock.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"AT8 - 725 Ponce de Leon Ave NE, Atlanta, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Data Engineering Lead","datePosted":"2025-08-06","description":"

Data Engineering Lead

About RhythmX AI

RhythmX AI is a generative AI-native health company driving a paradigm shift in hyper-personalized care. RhythmX AI’s precision care platform helps physicians pioneer a new era of whole-person care through generative and predictive AI-powered copilots. An SAIGroup company, RhythmX AI leverages SAIGroup assets, including the advanced Eureka AI platform and longitudinal data related to 300 million patients, more than 4.4 billion total annual claims, and more than 1.8 million healthcare professionals at more than 300 thousand facilities. RhythmX AI comprises healthcare and technology experts, operators, and the industry’s leading clinical advisors. https://rhythmx.ai/

Job Overview

We are seeking an experienced Data Engineering Lead with a solid foundation in Python, MongoDB, PostgreSQL, Apache Airflow and other data management tools to join our innovative team. This role is critical for building and managing robust data pipelines that extract and process data from health system EHR systems, supporting our AI-driven healthcare applications.

Key Responsibilities:

Data Pipeline Construction: Develop and optimize data pipelines for the efficient extraction, transformation, loading and management of large-scale healthcare and clinical guidelines data.

Healthcare Data Handling: Manage sensitive healthcare data adhering to FHIR, HL7 standards, as well as the version and variability of Epic Clarity extracts, Quality Measures, Drug Formularies and Clinical Guidelines ensuring compliance with data regulations and client needs.

Data Orchestration: Use Airflow, Temporal or other similar AI-native next generation tools to manage complex data and knowledge workflows essential for processing healthcare data at scale.

Assessments and Collaboration: Support data scientists and backend developers by integrating and maintaining data systems across the organization. As well as in assessment and validation of large-scale Gen-AI based systems using tools such as RAGAs, Opik etc.

Innovative Problem-Solving: Apply technical skills to address unique challenges in the healthcare sector, contributing to solutions that enhance patient care.

Minimum Qualifications

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

Minimum of 12 years of experience in data engineering, with proficiency in Python, PostgreSQL or other variant, MongoDB and Milvus Vector DB.

Experience building and managing data pipelines using healthcare data from hospital EHR systems and other clinical data sources such as HIEs and clinical standards bodies (CMS, NCQA etc).

Demonstrated experience with data lakes, ensuring robust and scalable data storage solutions.

Highly Preferred Qualifications

Azure technology stack expertise to improve data processing and storage capabilities.

Experience with clinical data quality management and validation to ensure the accuracy and reliability of data solutions.

Knowledge of anomaly and outlier detection techniques in large datasets.

Proficiency in querying massive datasets using database queries to drive insights and decisions.

Experience in building and maintaining RESTful Web Services to support data integration and accessibility.

Experience with Large Scale Recommendation Systems and managing the lifecycle of recommended items that receive end-user clinical feedback. Experience with learning systems (Reinforcement Learning) that use feedback as an input to Machine Learning.

Benefits

Competitive salary and performance-based bonuses, plus Provident Fund.

Opportunities for professional development and advancement within a rapidly growing company.

Collaborative and inclusive work environment.

Cutting-edge technology projects with real-world impact.

Company History and Leadership

RhythmX AI is a new company chaired and invested by Romesh Wadhwani (Chairman of SymphonyAI Group) and is fully owned by the SAIGroup.

SAIGroup is one of the largest, fastest-growing players in enterprise AI. Our portfolio includes SymphonyAI and ConcertAI, both founded in 2017 and both are working with several hundred of the Fortune 1000, generating hundreds of millions in revenues, and employing 4000 employees globally. ConcertAI is the leader in real-world data and enterprise AI for life sciences and healthcare and recently at $1.9 billion valuation. SymphonyAI is the leader in enterprise AI for key vertical sectors, including retail, financial services, manufacturing, and IT operations, and has hundreds of millions of dollars in revenue.

Now, for his third pillar under the SAIGroup, Dr. Romesh Wadhwani is starting a company called RhythmX AI and fully anticipates it, too, will become a unicorn- joining his first two successful companies SymphonyAI and ConcertAI. Deepthi Bathina, formerly a Chief Product Officer at Humana, and Senior Executive & GM of Operations at Nuance Communications and COO of Wolter Kluwers HealthTech division, has joined as CEO, bringing years of healthcare, AI and business experience to the team.

Prior to founding SAIGroup, Dr. Wadhwani was the founder and CEO of Symphony Technology Group, a strategic private equity firm that builds great software and technology-enabled services companies. Dr. Wadhwani founded STG in 2002, growing it from startup to $ 2.5 billion in combined revenue and 15,000 employees. Dr. Wadhwani was the founder and CEO of Aspect Development Inc., a B2B software firm. Aspect Development was acquired in 2000 for $9.3 billion, the largest software acquisition at the time. TIME Magazine recently recognized our Chairman Romesh as one of the Top 100 Most Influential AI leaders in the world.

Under the highly engaged leadership of successful Silicon Valley serial entrepreneur Dr. Romesh Wadhwani who has committed $1B of his personal capital to SAIGroup’s growth and the success of our clients, we are launching RhythmX AI to market with a clear path to a minimum $1+ billion value outcome. We need passionate and purpose-driven leaders who want to change the trajectory of healthcare for generations to come to be part of our leadership team.

Some articles/links about our firm - Symphony AI Group (SAIGroup):

SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. Our website - SAIGroup - Growing companies with advanced AI

RhythmX AI launch and funding: New Generative AI-Native Health Company RhythmX AI Announces Precision Care Platform for Doctors to Deliver Hyper-Personalized Care to the Right Patient at the Right Time (prnewswire.com)

Bio of our chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)

TIME Magazine recently recognized our Chairman Romesh as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

$1 Billion investment from our chairman into AI: https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html

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Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Help chart the course for database technology at American Express! We need top technical talent to supplement our Database Engineering team. This team selects the operational database technologies American Express will use, and figures out how best to set them up. We define, design, implement, test, and communicate the architectures, configurations, best practices, and standards for optimal use of database technologies across the company, both on-prem and in the cloud. We evaluate new and upgraded database versions, features, components and extensions for performance, throughput, scalability, availability, and security; and we partner with our hosting, database administration, and operational support teams to operationalize and harden OLTP technology for our top-tier financial applications.

This specific posting is for a hands-on engineering manager with experience in developing enterprise-class database architectures and deployment configurations. The candidate will lead a small team of engineers to evaluate and prepare new and upgraded database offerings for use across the company, and to document, present and explain the appropriate techniques, patterns and best practices to our hosting, database administration, operational support and application development teams. The candidate will have direct management responsibility for the team.

The candidate will bring solid knowledge of DBMS concepts such as ACID, CAP and consistency. The ideal candidate will have experience with enterprise-scale deployments, including intra- and inter-data-center high availability configurations, fault tolerance and failover, physical and logical replication, cluster management, automated provisioning, rolling upgrade techniques, backup & restoration techniques, security mechanisms, health monitoring and alerting techniques, and troubleshooting. The candidate will also bring knowledge of database technology internals such as durability and replication settings, and performance tuning.

Additional desirable attributes
· Skill at the Unix command line
· The ability to write code or script, e.g. for test harnesses or other database-related tools and utilities
· Experience as a database administrator and/or a Unix system administrator
· Knowledge of virtualization and cloud infrastructures, and of implementations such as VMWare, OpenShift, Kubernetes and Docker
· Knowledge of AWS, Google Cloud, Azure or other public cloud offerings
· Knowledge of modern storage and compute technologies, including hyper-converged infrastructures

Bachelor’s degree preferred.

Minimum Qualifications

Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Job

Technologies

Primary Location

US-Arizona-Phoenix

Organization

A6723 - Distributed Infra & Data Svcs

Schedule

Full-timeJob Band 35Work Location Options Hybrid

Job Posting

Aug 6, 2025, 11:09:07 PM - Aug 12, 2025, 6:59:00 AM

Recruiter

Taylor LuuYip

Hiring Manager

Allan Christopher Pomeroy","hiringOrganization":{"@type":"Organization","name":"American Express","sameAs":"https://www.americanexpress.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US-Arizona-Phoenix","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"IT DATA ENGINEERING","datePosted":"2025-08-07","description":"

Company Description

Varrlyn is a consulting firm which was founded in 2010 and is based in The Netherlands. We help financial institutions with system implementations and provide some serious application support, concentrating on the way they process transactions and deploy reporting applications.

Varrlyn has a proven track record: we have worked for financial institutions in Amsterdam, Brussels, London, Paris, New York, Frankfurt, and Sydney. We help improve cost efficiency, simplify application architecture, optimize time to market, enhance straight-through processing, and ensure compliance with financial regulations. In other words: You do the deal, we’ll do the project.

At Varrlyn, we are trained to think ahead. With advanced digital tools, we enjoy turning any obstacle into a chance to thrive. It’s all about thinking in terms of opportunities, together.

A positive mindset - that's what got us this far. Thinking of doing something deemed impossible? Once you realize nothing is impossible, you are free to dream. We’ll help you plan and thrive. Because at Varrlyn we believe that if something is achievable, we can - and will - achieve it together.

Varrlyn has expertise in:

Dealing room & Sustainability services
\nWe’ll unburden you by taking care of your entire trade lifecycle. Get ready a for positive, sustainable change!
Asset management
\nStep up your game as a data-driven organization: digitise your processes without losing sight of the legal picture.
Finance & Risk
\nGet a grip on the rapid changes and the unpredictable influences that keep hitting the financial services sector.
Digital services
\nOur triple engine - dealing room, asset management, and finance & risk - is powered by our love for data and technology.

Job Description

Develop and deploy innovative big data platforms for advanced analytics and data processing. Leads complex data engineering projects, design data strategy and big data platform, conduct advanced data analyses.

• Leads one or more of the most complex data engineering projects. Takes the lead in defining and builds the data pipelines that will enable faster, better, data-informed decision-making within the business. Jointly designs and implements a new big data solution which supports high amounts and velocity of data and supports future growth. Identifies latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources. Takes direct reports, when applicable, through Agile Framework and its respective tools.
\n• Changes behaviour of stakeholders based on analyses / outcomes. Jointly works together with the Solution and Data Architect to design the target data strategy and the next generation big data platform to support the digital marketing platform. Conducts analyses to solve uncharted information and data queries/problems.
\n• Leads complex data engineering projects that require the most advanced data analytics. Working as Data Engineering Lead to develop and deploy innovative big data platforms for advanced analytics and data processing.
\n• Works independently under minimal managerial supervision.
\n
\nThis job profile contains generic information and does not describe individual positions or required job competencies. Grading decisions will also depend on other factors.

Qualifications

We are looking for a candidate with strong expertise in big data technologies (e.g., Spark, Hadoop), cloud platforms (AWS, GCP, Azure) and data pipeline development is essential. Proficiency in Python, SQL and data architecture is required. Experience leading complex data engineering projects, working in Agile environments and influencing stakeholders through data insights is crucial. Strong analytical skills and a background in computer science or data engineering are expected, along with knowledge of CI/CD, DevOps and scalable data solutions.

Additional Information

The candidate needs to be already living in The Netherlands

","hiringOrganization":{"@type":"Organization","name":"Varrlyn","sameAs":"https://varrlyn.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam, NH, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Manager, Data Engineering","datePosted":"2025-08-04","description":"

LOCATION:

This will be a hybrid role (2 days a week) working out of our San Carlos, CA location.

POSITION SUMMARY:

Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D Operations Data Science is to support R&D activities at Natera through data analytics and software tool development to optimize workflows and processes.

As a Data Engineering Manager on the team, you will lead the design, development, and deployment of scalable data infrastructure, backend services, and software tools that enhance operational efficiency in R&D. Your role will focus on implementing new processes, optimizing data workflows, and developing software solutions to support R&D initiatives. You will work independently and cross-functionally, collaborating with R&D, data science, software engineering, and DevOps teams to build and maintain high-performance data pipelines, APIs, and cloud-based solutions. Additionally, you will manage a team of engineers, ensuring best practices in data engineering, cloud infrastructure, DevOps, and frontend integration.

RESPONSIBILITIES:

Data Engineering & Backend Development

Lead the design and implementation of scalable data pipelines for ETL, data ingestion, and data transformation.
Develop and deploy REST APIs and microservices using FastAPI (or similar Python frameworks).
Implement and manage high-performance caching layers using Redis and Elasticsearch.
Oversee data migration, data replication, and integration across multiple systems.
Ensure data quality, governance, and reliability in engineering workflows.

DevOps & Cloud Infrastructure

Design and maintain CI/CD pipelines using GitLab CI/CD for automated deployments.
Deploy and manage services on AWS cloud infrastructure (EC2, Fargate, Lambda, S3, RDS, etc.).
Implement containerization and orchestration using Docker and Kubernetes.
Monitor and optimize system performance, logging, and alerting for production workloads.
Implement strategic cost optimization initiatives of cloud infrastructure.

Software Development & Tooling

Develop custom software tools to optimize R&D workflows and process automation.
Work with stakeholders to identify pain points and design engineering solutions that improve efficiency.
Implement data visualization tools and dashboards to improve operational insights.

Frontend & Data Visualization

Design and implement user-friendly data interfaces for internal R&D teams.

Leadership & Strategy

Manage and mentor a team of data engineers.
Drive best practices for code quality, testing, and documentation.
Identify and implement new tools and technologies to improve data workflows and software development processes.
Collaborate with cross-functional teams to align engineering efforts with R&D objectives.

QUALIFICATIONS:

5+ years of experience in data engineering, backend development, and DevOps.
Strong programming skills in Python.
Knowledge of data pipelines, ETL processes, and database management.
Expertise in microservices and REST API development (FastAPI preferred).
Strong experience with AWS services (EC2, Fargate, Lambda, S3, RDS, etc.).
Proficiency in CI/CD automation using GitLab CI/CD.
Experience with containerization (Docker, Kubernetes).
Familiarity with infrastructure-as-code (Terraform, CloudFormation).
Familiarity with React.js for frontend integration.
Excellent problem-solving and leadership skills.

NICE TO HAVE:

Experience with streaming data processing (Kafka, Spark, etc.).
Experience with workflow orchestration tools (Apache Airflow)
Knowledge of data governance and security best practices.
Hands-on experience with Redis, Elasticsearch, and data caching strategies.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.San Carlos, CA $161,700—$202,150 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page

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Job Title

Data Engineering Analyst

Job Description

Job title: Data Engineering Analyst

Your role:

As a Data Engineer Analyst, you will be instrumental in designing, developing and maintaining robust data pipelines and systems to support patient safety and quality activities. You will work primarily with product and post market surveillance data, utilizing Azure and Databricks to ensure that we can monitor the performance of devices while meeting regulatory requirements.

Your Role

Design, Build, and Maintain Data Pipelines: Develop and maintain scalable, reliable, and efficient ETL (Extract, Transform, Load) pipelines using Azure tools and Databricks to handle large datasets from medical devices in the field.
Data Integration: Integrate data from various sources (e.g., medical devices, regulatory systems, clinical databases) into centralized data lakes or data warehouses using Azure Data Factory, Databricks, and other relevant tools.
Collaborate and work with Cross-Functional Teams: Work closely with clinical, regulatory, and quality assurance teams to ensure that data collected meets regulatory requirements (e.g., FDA, ISO 13485, MDR) and supports post-market surveillance activities.
Data Security and Compliance: Ensure all data systems comply with industry regulations and data privacy standards.
Continuous Improvement: Stay up-to-date with the latest advancements in data engineering, cloud technologies (specifically Azure), and medical device industry trends, and proactively suggest improvements to existing systems.

You're the Right Fit If You Have:

A Bachelor's degree in Computer Science, Data Science, or a related field.
A Minimum of 2-5 years of experience as a Data Engineer or in a related role, with a focus on data integration, ETL processes, and database management.
Strong proficiency in Python and SQL, with hands-on experience in writing complex SQL queries and Python scripts for data processing.- MANDATORY
Experience with Azure cloud services, including Azure Data Factory, Azure SQL Database, Azure Data lake and Databricks.

How we work at Philips
Our newly-adopted hybrid work concept fuses flexibility with collaboration to deliver great outcomes for our people and our customers. We are embracing an approach wherein we spend more time together than apart – which for full-time employees translates to an average of at least 3 days working from the office and up to 2 days from home – for our hybrid roles.
Hybrid work flexibility means people can meet the changing demands of work and home in the most balanced, productive, and healthy way.

Our hybrid working model is defined in 3 ways:
We believe in the importance of impactful collaboration: There's a certain energy when everyone’s in the same room that can heighten idea generation and creative friction needed for problem-solving.
We embrace flexibility: Choosing where, when and how to work can vary according to task and team schedules. Flexibility isn’t office or online, it means choosing the space that works best for you, your teams and our customers on a case-by-case basis.
We want to be at our best: The way we work and our workspaces are designed to support our well-being, offer career advancement opportunities, and enable us to be at our best.

Why should you join Philips?
Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on innovative, customer-first health technology solutions. Help us improve the health and well-being of billions of people, every year. Ultimately creating a career that no one could have planned for. Even you.

#LI-PHILIN

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Objetivo del Rol

El objetivo del rol de Data Engineer es diseñar, implementar y mantener pipelines de datos robustos y eficientes, colaborando con equipos multidisciplinarios para dar respuesta a las necesidades del negocio. Se espera que optimice infraestructuras orientadas al procesamiento de grandes volúmenes de información, garantizando la gobernanza, la calidad y la seguridad de los datos, al tiempo que automatiza procesos ETL y supervisa el rendimiento de los sistemas.

Principales Responsabilidades

Diseñar, desarrollar y mantener pipelines de datos para procesos de ingesta, transformación y carga (ETL/ELT).
Colaborar con equipos de negocio, analistas y científicos de datos para comprender requerimientos y desarrollar soluciones eficientes.
Optimizar y escalar infraestructuras de datos para soportar grandes volúmenes de información de forma confiable.
Implementar prácticas de seguridad y gobernanza de datos para asegurar su integridad, confidencialidad y trazabilidad.
Automatizar flujos de trabajo de datos y monitorear la salud y performance de los sistemas.
Desarrollar dashboards y visualizaciones interactivas en Tableau, con foco en usabilidad, performance y valor de negocio. (excluyente)

Requisitos del Perfil

Experiencia profesional:

Mínimo 2 años de experiencia en ingeniería o ciencia de datos, con sólido dominio técnico y participación en proyectos complejos.

Conocimientos técnicos:

Lenguaje SQL / PL-SQL: avanzado
Procesos ETL / Integración de datos: intermedio
Visualización de datos en Tableau: avanzado (excluyente)
Python (en contextos de análisis y modelado estadístico): inicial-intermedio
Conocimientos básicos de tecnologías Big Data (Hadoop, Spark, Kafka)
Algoritmos y estructuras de datos: inicial
Versionado de código con Git / GitHub: inicial

Formación académica:
Graduado/a o estudiante avanzado/a en carreras de Informática, Ingeniería, Estadística, Matemática, Economía o afines.

Idiomas:

Avanzado (B2+ en adelante) capacidad para sostener conversaciones técnicas y producir documentación escrita.

Competencias personales:
Trabajo en equipo, pensamiento analítico, orientación a resultados, autonomía, proactividad, y comunicación efectiva.

","hiringOrganization":{"@type":"Organization","name":"Quales Group","sameAs":"https://qualesgroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Manager, Data Engineering","datePosted":"2025-08-05","description":"

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:
CrowdStrike is seeking a visionary Data Engineering Manager to lead our data strategy and operations. In this role, you will oversee the design, implementation, and evolution of CrowdStrike’s data ecosystem, ensuring our ability to derive actionable insights, drive innovation, and maintain a competitive edge in cybersecurity. You will collaborate across teams to manage large-scale data sets, build scalable infrastructure, and lead data-driven decision-making processes.

What You'll Do:

Collaborate closely with data scientists to scale AI solutions and operations at CrowdStrike
Maintain the team’s highly collaborative culture. Provide guidance and mentorship to team members, and encourage continuous learning and development.
Lead by doing.
Help craft a comprehensive data strategy roadmap. Prioritize key data-related initiatives and engage stakeholders for validation. Keep abreast of industry trends to ensure the data strategy remains current and evaluate new technologies to consistently enhance the organization's data capabilities.
Oversee the design and management of scalable data systems. Facilitate the seamless integration of new data sources into the existing architecture. Monitor and ensure the performance and reliability of all data storage and processing systems.
Drive and uphold a culture of continuous improvement and operational excellence.
Implement best practices for data governance, security, and compliance.
Collaborate with cross-functional teams to identify business requirements and ensure data platform solutions meet those needs.
Drive innovation by exploring new technologies and tools to enhance data systems capabilities.
Monitor performance metrics, identify areas for improvement, and implement solutions to optimize data systems efficiency.

What You'll Need:

Proven experience in leading data engineering teams in a fast-paced and petabyte scale environment.
Proven experience in creating services with high availability, data durability and performance.
Expertise building machine learning platforms, real time analytics. and graph systems.
Strong technical skills in data architecture, ETL processes, database management, and cloud technologies.
Excellent communication skills with the ability to collaborate effectively with stakeholders at all levels.
Strong leadership abilities with a track record of building high-performing teams.

Technology You’ll Work With:

High level languages such as Python and JVM languages
Distributed computing such as Spark and Ray
Scheduling apps such as Airflow
Stream processing frameworks such as Flink, Spark Streaming, and data sketches
Database technologies such Cassandra, Postgres, and Iceburg
Real time analytics such as Apache Pinot and Apache Druid
Coding assistants
Cloud computing

If you are a strategic thinker with a passion for leveraging data to drive business success, we invite you to join our team as a Data Engineering Manager at CrowdStrike. Apply now to be part of an innovative company that values excellence and fosters growth opportunities for its employees.

#LI-DP1

Benefits of Working at CrowdStrike:

Remote-friendly and flexible work culture
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

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Summary

Ready for a new challenge? Join Guidewire as a Data Engineering Manager! We are building a new team to take advantage of our market leading position and access to data to build advanced predictive models and variables to drive the next generation of growth in the P&C insurance market. This is an opportunity to come on board early and shape our direction and have a broad impact on the insurance industry.

Job Description

Responsibilities

Recruit and manage a team of data engineers working on multiple simultaneous projects with a focus on data preparation and pipeline development for ML predictive modeling
Provide strategic guidance and mentorship around the following topics:
Data interrogation, exploratory data analysis, profiling, and reconciliation
Data pipeline creation, revision and monitoring based on product manager and data scientist/actuarial input
Feature creation, initial testing, and ongoing management
Data security and governance
Work collaboratively with other staff including product managers, data scientists, data analysts, architects to solve problems, develop innovative approaches, and provide project status
Create and manage data assets, datasets, features, and code with a focus on simplicity, scalability, reusability, and clear documentation
Demonstrated success at developing teams and achieving large productivity gains
Additional work assignments not related to specific project work such as new feature development, external data research, providing user feedback on new products and tools under development

Qualifications

Bachelors or Masters degree or equivalent industry experience
Passion for solving complex data engineering problems
10+ years of relevant data engineering experience
5+ years of relevant management experience, including recruiting and developing a new team of data engineers
Advanced, hands on experience building ML data pipelines, modeling datasets and features for predictive modeling
Expert SQL skills, including advanced functions, table design, view creation, stored procedure and script design and coding, general performance tuning
Expert data profiling and analysis skills including statistical analysis
In-depth knowledge of Python for data processing ( Pyspark, Polars, Pandas)
Deep experience with DBT and AWS data capabilities like Airflow, Glue, Athena, Redshift, EMR
Experience with developing and automating data quality monitoring
Experience in a regulated industry required; experience with
US/Canadian P&C standard lines of business a bonus
Ability to plan and carry out projects with minimal direction
Self-motivated and detail-oriented with desire to solve problems

#dataengineering #predictive #propertyandcasualty #management

\nThe US base salary range for this full-time position is $169,000 - $290,000 . Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

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About us

At Sanofi, we chase the miracles of science to improve people’s lives. All our decisions are taken with our most important stakeholder in mind – the patients.

Having a rich history of innovation that dates back over 100 years, Sanofi more than ever stays true to its commitment to transform the practice of medicine by providing potentially life-changing treatments and the protection of life-saving vaccines to millions of people. This history includes the first treatments for many rare diseases and the establishment of standards of care in diabetes and cardiovascular disease. Sanofi’s commitment to public health has helped protect hundreds of millions of people from influenza every year for decades and pushed polio to the brink of eradication, while its scientific vision has led to breakthrough innovations in the treatment of inflammatory diseases.

~ 43.07Bn€ Net Sales FY23

~90 countries

~ 91K employees

~ 59 manufacturing sites

~ 20 R&D sites

Overview: The Data Engineering Manager is responsible for guiding a diverse team of digital experts in the design and development of fundamental data platforms and products, utilizing agile methodologies. This role demands a leader capable of fostering collaboration and driving engineering excellence within the data foundation ecosystem.

Key Responsibilities

Lead the recruitment, hiring, onboarding, and retention of a talented and collaborative engineering team.

Develop, lead, and empower an efficient, effective, and agile engineering team to deliver exceptional capabilities and services across the entire data foundation ecosystem.

Foster effective teamwork and collaboration with all internal and external stakeholders, including cross-functional business teams, digital functions, and third-party technology partners.

Drive engineering excellence by establishing best practices for engineering standards and processes, as well as by implementing innovative solutions to improve development efficiency and quality.

Oversee the implementation and enforcement of data governance policies and best practices within their area of responsibility, ensuring data quality, accuracy, security, and compliance with relevant regulations.

Manage project timelines, resources, and budgets for data engineering initiatives within their scope, ensuring projects are delivered on time and within budget.

Drive innovation and the adoption of new data technologies and best practices within the data engineering team, staying updated with industry trends and advancements.

Provide technical leadership and guidance to the data engineering team, acting as a point of escalation for complex technical challenges and unblocking developers to maintain project momentum.

Embed the organization's core values and code of conduct within the team, ensuring adherence to the highest standards of ethics and compliance with relevant policies, processes, and regulations.

Qualifications

Bachelor’s degree or above in Computer Science, Engineering, or a related field. A Master’s degree is preferred.

Significant experience (typically 10+ years) in engineering roles, with increasing levels of responsibility and complexity.

Demonstrated experience (typically 5+ years) in leading, mentoring, or technically guiding other engineers or team members.

Proven track record of successfully designing, building, and deploying complex data platforms and data products, with deep knowledge of big data ecosystem and full-stack programming.

Experience with project management methodologies, preferably Agile, and the ability to manage projects from conception to deployment.

Solid understanding of data governance principles, data security best practices, and data quality management.

Strong business and data acumen, preferably with 5+ years of experience working in the multinational pharmaceutical industry, possessing a deep understanding of the pharmaceutical commercial business process and model.

Customer-centric and product-oriented mindset, with a deep understanding of the methodology for implementing data as a product and a passion for driving data democratization.

Excellent communication, interpersonal, and negotiation skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

Experience in leverage AI or GenAI for innovative engineering practices is preferred.
Pursue progress, discover extraordinary
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

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Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

We are seeking a to contribute to our next level of growth and expansion. 

Job Description

We’re looking for a skilled Data Engineer Lead with strong experience in Snowflake and Python to help design and implement an end-to-end data architecture for a leading enterprise client's marketing team. This role is part of a strategic initiative to enable robust analytics and insight generation for marketing and martech use cases.

In this role, you’ll work closely with both Blend’s internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for reporting, analytics, and operational workflows.

This position is ideal for engineers with a strong data foundation who are looking to apply their skills in analytics, BI, and marketing tech environments, while gaining exposure to modern data tools and scalable architectures.

You will:

Design and implement an end-to-end data solution architecture tailored to marketing analytics and martech needs.
Build, maintain, and optimize data pipelines and transformations using Python and Snowflake.
Support analytics and BI teams by ensuring clean, reliable, and well-modeled data.
Leverage tools like Fivetran and dbt (if available) to orchestrate ELT processes.
Collaborate with cross-functional teams to align on business goals and technical requirements.
Contribute to documentation and continuously improve engineering and data quality processes.

Qualifications

+5 years of experience in data engineering.
Proficiency in Python for data workflows and pipeline development.
Strong experience working with Snowflake or similar cloud data platforms.
Experience (or familiarity) with marketing data, martech tools, or marketing analytics use cases.
Understanding of analytics/BI environments and how data supports decision-making.
Exposure to tools like dbt and Fivetran is a plus.
Familiarity with cloud platforms like AWS, GCP, or Azure.
Strong communication and documentation skills.
Ability to thrive in collaborative, client-facing environments.

Preferred Qualifications

Hands-on experience with dbt, Fivetran, or similar modern data stack tools.
Familiarity with CI/CD pipelines or infrastructure-as-code practices.
Experience in client services, consultancy, or agency settings.

Language Requirements

You must have excellent written and verbal English communication skills.

Additional Information

Our Perks and Benefits:

📚 Learning Opportunities:

Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.

👩‍🏫 Mentoring and Development:

Career development plans and mentorship programs to help shape your path.

🎁 Celebrations & Support:

Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.

⚖️ Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

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When our values align, there's no limit to what we can achieve.

At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

The Director of Data Engineering is responsible for managing the Enterprise Data Lake ecosystem for Parexel. They will work closely with customers, colleagues, and other stakeholders to identify data ingestion and modeling requirements and seek opportunities to support modern solutions based on cloud computing architecture and data visualization delivering data to internal and external clients. This highly collaborative role works with all enterprise functions and business units to develop new data-driven operating models and ensure the necessary data delivery pipelines support platform outcomes and experiences.

Essential Job Responsibilities:

Participate in formulating Parexel Data strategy and business system architecture plans, assessing the cost and feasibility of system requests, and ensuring data services support strategic and near-term needs.
Will manage the framework and drive data services by designing and implementing a strategy supporting asset standardization and reuse.
Act as a general expert within the Data organization to develop appropriate support for projects from various technology and business teams.
Maintain compliance with company SOPs relating system validation and GxP standards.
Create a high-performance and collaborative team environment.
Ability to lead dynamically and energize multi-disciplined work teams to learn and apply new skills/techniques to respond to business needs.
Strong verbal and written communication skills.
Strong analytical, problem-solving, and conceptual skills.
Strong teamwork and interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional environment.
Knowledge of the company’s business practices and direction, as well as familiarity with the company’s products and resources.
Knowledge and experience in developing strategic information systems plans.

Technical Skills:

Significant experience in implementing and supporting enterprise services applications using cloud platforms.
Strong experience and knowledge of modern data management and sharing tools, programming languages, relational databases, data transformation, and development frameworks.
Experience with GxP in Lifescience setting is mandatory.
Proven experience with data and cloud platforms – Azure, Databricks, Snowflake, and Denodo preferred.
Deep understanding of architectural recommendations and application development designs and estimations.
Significant experience implementing and supporting medallion architecture-based Data Lake and Power BI are strongly preferred.
Deep understanding of Familiarity with application architectures and enterprise application ecosystems.

Job experience:

15+ years of IT experience, including developing, implementing, and maintaining large-scale enterprise integration services tools and platforms across multiple hardware and software platforms; significant expertise and knowledge in new computing architectures.
8+ years of experience leading teams in data delivery management and execution involving multiple major development projects in data management, data integration, and analytics delivery.
5+ years of management experience in which one or more of the following has occurred:
- Successful development and implementation of applications in new computing architecture environments using new and emerging technologies.
- A track record of managing technical staff through various life-cycle phases (cross-functional experience highly desirable).
- Experience managing financial resources to meet goals and multiple projects.
- Developed efficient and effective solutions to diverse and complex business problems.
Clinical IT experience preferred.

Education:

Bachelor’s degree in computer science, Information Systems, Business Administration, or other related field (or equivalent work experience).
Master’s degree preferred.

","hiringOrganization":{"@type":"Organization","name":"Parexel","sameAs":"https://www.parexel.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India-Hyderabad-Remote","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Data Engineering Director","datePosted":"2025-08-10","description":"Bustle Digital Group (BDG) is seeking a Director of Data Engineering to lead, expand, and optimize our data infrastructure. In this role, you will drive the development of scalable data pipelines, enhance our storage and reporting systems, and support data-driven initiatives across our advertising, affiliate sales, and editorial content revenue streams. As the head of our data engineering team, you will play a pivotal role in shaping BDG’s data strategy and fostering a culture of innovation and excellence.\n

What You'll Do

Lead & Grow the Team: Build, mentor, and scale a high-performing data engineering team to develop data-driven products that fuel revenue growth and business intelligence.
Drive Innovation & Best Practices: Design and implement best-in-class data systems and architecture, ensuring efficiency, scalability, and industry compliance.
Foster a Culture of Ownership: Encourage self-directed, accountable teams that take initiative and collaborate effectively.
Set Clear Objectives & Strategy: Define technical roadmaps, establish team goals, and align data initiatives with broader company objectives.
Optimize Data Systems: Enhance our data pipelines, storage, and analytics capabilities to support real-time insights and predictive modeling.
Mentor & Develop Talent: Provide technical and professional guidance to engineers at all levels, fostering career growth and leadership development.

Who You Are

Experienced Technical Leader: Proven track record in leading cross-functional and distributed engineering teams.
Strategic Thinker & Communicator: Strong organizational and stakeholder management skills with a user-centric approach.
Agile Advocate: Hands-on experience implementing agile methodologies, particularly Kanban.
Product-Driven Engineer: Experience developing data solutions for ad products, affiliate sales, or editorial platforms.
Mentor & Coach: Passionate about guiding both senior and early-career engineers, helping them grow technically and professionally.

BDG Benefits

Competitive Compensation & Equity: Market-leading pay with annual reviews and stock options.
Unlimited PTO: Recharge and take the time you need.
Comprehensive Health & Wellness: Medical, dental, and vision coverage for you and your dependents.
Retirement Savings: 401(k) plan.
Flexible Work Options: Work remotely or collaborate in our NYC office.

BDG is a leading independent media company with a diverse portfolio of respected publications, including Bustle, Nylon, W, and Inverse. We combine the best of traditional and digital media, creating engaging content that captivates over 115 million readers each month. Our business thrives on data-driven insights that power content monetization, advertising, and affiliate sales.
Ready to lead the future of data at BDG? Apply now and be part of our growing team!","hiringOrganization":{"@type":"Organization","name":"BDG","sameAs":"https://www.bdg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Engineering Manager","datePosted":"2025-08-07","description":"

Job Description Summary

We are seeking a highly skilled and motivated GCP Data Engineering Manager to join our dynamic team. As a Data Engineering manager specializing in Google Cloud Platform (GCP), you will play a crucial role in designing, implementing, and maintaining scalable data pipelines and
systems. You will leverage your expertise in Google Big Query, SQL, Python, and analytical skills to drive data-driven decision-making processes and support various business functions.

Job Description

Key Responsibilities:

Data Pipeline Development: Design, develop, and maintain robust data pipelines using GCP services like Dataflow, Dataproc, ensuring high performance and scalability.
Google Big Query Expertise: Utilize your hands-on experience with Google Big Query to manage and optimize data storage, retrieval, and processing.
SQL Proficiency: Write and optimize complex SQL queries to transform and analyze large datasets, ensuring data accuracy and integrity.
Python Programming: Develop and maintain Python scripts for data processing, automation, and integration with other systems and tools.
Data Integration: Collaborate with data analysts, and other stakeholders to integrate data from various sources, ensuring seamless data flow and consistency.
Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to maintain high data standards.
Performance Tuning: Monitor and optimize the performance of data pipelines, queries, and storage solutions to ensure efficient data processing.
Documentation: Create comprehensive documentation for data pipelines, processes, and best practices to facilitate knowledge sharing and team collaboration.

Minimum Qualifications:

Proven experience (minimum 6 – 8 yrs) in Data Engineer, with significant hands-on experience in Google Cloud Platform (GCP) and Google Big Query.
Proficiency in SQL for data transformation, analysis and performance optimization.
Strong programming skills in Python, with experience in developing data processing scripts and automation.
Proven analytical skills with the ability to interpret complex data and provide actionable insights.
Excellent problem-solving abilities and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a team enviro

Desired Skills :

Experience with Google Analytics data and understanding of digital marketing data.
Familiarity with other GCP services such as Cloud Storage, Dataflow, Pub/Sub, and Dataproc.
Knowledge of data visualization tools such as Looker, Tableau, or Data Studio.
Experience with machine learning frameworks and libraries.

Skills Desired

Agility, Analytical Thinking, Building Construction, Business Analytics, Cross-Functional Collaboration, Data Analysis, Data Engineering, Data Flows, Data Pipelines, Data Processing, gcp, GCP Dataflow, Google BigQuery, Google Cloud Platform, Marketing Strategy, Problem Solving, Problem-Solving Strategies, python, Python (Programming Language), SQL Database Queries, Stakeholder Engagement, Stakeholder Management, Strategic Marketing, Structured Query Language (SQL), Team Problem Solving","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad (Office), India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Data Engineering Manager","datePosted":"2025-08-11","description":"

In Australia, Dabble has been operating a licensed sportsbook under the NTRWC since 2021. We're here to deliver extraordinary - with a truly immersive socialised betting experience designed to provide evolutionary entertainment to our punters via genuine interaction and engagement.

We have office hubs in Darwin, Melbourne, Brisbane, Sydney, Adelaide, and Albury. While we support remote-friendly work, we also encourage our people to take advantage of our national network of offices, offering cross-office sponsored flights year-round to promote collaboration and connection.

Our global operations span multiple markets, including our innovative Daily Fantasy Sports app servicing the United States which launched in 2023, and our latest launch into the UK in May 2025!

We are a team of highly driven enthusiasts and we are looking for our next Dabbler to join us as we continue in our journey.

Dabble Culture

Dress for your day so you can focus on what matters
Switch up your office, work from home, work from wherever helps you to deliver
Genuine, like-minded team of visionaries. We welcome ideas big and small!
Scheduled focus time to encourage deep thought
Our annual convention, Dabblecon, brings us all together to celebrate our successes and plan continued evolution over the coming year
Each day is led through upholding our core Values: Fun, Celebratory, Community, Evolutionary and Focus

Dabble Perks

A minimum of five weeks of paid annual leave for all Dabblers
Paid parental leave for both primary and secondary caregiver
We encourage you to visit our network of offices: sponsored flights available to staff and spouse/immediate family
Flexibility with working hours to accommodate our cross-country employee base: you are free to manage your own time
Your wellness is our genuine concern: We sponsor access to the Sonder app for employees and their families with 24/7 support across mental health, medical advice, safety support and
more
Up to 10% annual cash bonus based on Company performance metrics
Dabble Day Dividend: all Dabblers split the day’s revenue evenly on our birthday each year. You share the workload, why shouldn’t you share the reward?

Overview

The Data Engineering Manager will establish and scale the Data Engineering function, ensuring the performance, reliability, and scalability of Dabble’s real-time data platform. This role combines strategic leadership, platform architecture, and hands-on engineering to deliver a modern data foundation that supports high-impact business needs across analytics, machine learning, and operations.
The Data Engineering Manager will act as a primary advocate for data platform excellence, driving improvements in ingestion frameworks, transformation pipelines, data governance, and cross-functional collaboration to enable trusted, timely, and actionable data across the organisation.

Primary Location

This role is currently open to all locations within Australia, however candidates based in Melbourne may be preferred.

Responsibilities

Lead the design and delivery of a modern, scalable data platform that meets the analytical, operational, and machine learning needs of the business

Evaluate, recommend, and implement a fit-for-purpose technology stack that balances performance, flexibility, and cost-efficiency
Establish reliable ingestion and transformation frameworks to integrate internal and external data sources at scale
Lead schema evolution strategies and data validation processes to minimise disruptions from upstream changes

Drive continuous improvement in platform reliability, data pipeline performance, and job orchestration

Implement monitoring, alerting, and feedback loops to proactively identify issues and support root cause resolution
Design reusable data frameworks and templates for ingestion, transformation, and observability

Monitor and optimise platform performance and usage to ensure efficient resource consumption and scalability

Provide input into data platform budgeting and vendor evaluation, aligning technology decisions with commercial goals

Work closely with Product, BI, Quant, and ML teams to ensure the data platform aligns with business priorities

Act as a senior leader within the broader technology organisation, representing Data Engineering in cross-functional planning and delivery

Promote transparency, documentation, and knowledge sharing across teams

Skills & Qualifications

Keep experience designing and scaling modern data platforms in cloud environments (e.g., AWS, GCP, Azure), with an emphasis on performance, flexibility, and cost-efficiency

Strong proficiency in data engineering languages and frameworks (e.g., SQL, Python, Spark), with the ability to mentor and guide engineers in their usage

Solid understanding of batch and streaming architectures, and experience building reliable data ingestion pipelines across structured and semi-structured sources

Fluency in modern data tooling ecosystems including data lakes, lakehouses, transformation frameworks (e.g., dbt), and orchestration systems

Knowledge of data governance, access control, and compliance fundamentals (e.g., GDPR, PCI DSS) in collaboration with Security and Cloud teams

Familiarity with DevOps workflows and CI/CD practices as they apply to data products, including integration with Cloud-managed infrastructure

Ability to drive high-impact platform decisions by balancing performance, cost, and business needs

Strong attention to detail and a commitment to building reliable, maintainable systems

Ability to manage multiple priorities in a fast-paced, high-growth environment, with a bias toward delivery
Experience working in or adjacent to high-frequency, real-time environments (e.g., trading, wagering, financial services)

Establish SLAs for data freshness, latency, and uptime across critical datasets and pipelines

Implement observability frameworks (e.g. quality checks, lineage, logging) to proactively detect and resolve data issues

Are you a Dabbler?

A Dabbler’s attitude is paramount, as the right person will be able to learn quickly and adapt to any skill gaps. A Dabbler is always a team player, with a willingness to share with and learn from others. Being a remote-first workplace, collaborative working styles are crucial to empower and grow each individual member (eg we prefer openness via public channels to problem solve or ideate on Slack).

A Dabbler uses their freedom of autonomy to its absolute potential and enjoys contributing to the Dabble community. We hold respect for our peers very highly – there is no such thing as a bad idea. We encourage you to think differently, be brave and strive to always raise the bar. Dabble was born out of thought sharing and should tackle growth in the same way. Dabble embraces empowerment of all people at any level of seniority and experience to ‘own their work’ and ‘talk their book’ wherever they can.

A fulfilling life extends beyond work, and we encourage our employees to prioritise self-care and well-being. This means taking breaks when needed, setting boundaries, and seeking support when facing challenges. We are committed to creating a safe environment where individuals feel comfortable discussing their wellbeing and accessing resources when necessary.

Remuneration

The advertised salary for this position is $190,000 - $210,000 + Super + Benefits with room to be flexible.

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Job Description:

Job Title –Principal - Data Engineering

The Purpose of This Role

At Fidelity, we use data and analytics to personalize incredible customer experiences and develop solutions that help our customers live the lives they want. As part of our digital transformation, we have significant investments to build cloud data lake platforms. We are looking for a hands-on data engineer who can help us design and develop our next generation Cloud Data Lake and Analytics Platform for Workplace Solutions.

The Value You Deliver

Fidelity's Workplace Investing Reporting and Analytics chapter ( India) is seeking a Principal Data Engineer to play a key role in building a Power BI and snowflake-based reporting application.

Team is responsible for building reports in Power BI with Snowflake as the source of data for the reports. It will also develop lot of custom capabilities on AWS

Team needs to work closely with the Enterprise Data Lake (EDL) team for data acquisition for the reports and with the Oracle Analytics Server (OAS) team to migrate the OAS based reports to Power BI.

This person will be self-driven and work with technical partners, and assist developers and testers as needed. The role demands significant collaboration with members of various business and IT groups throughout the lifecycle of a typical project. Our engineering team is innovative, diverse, hardworking, and self-driven. We work in a very dynamic agile environment.

The Expertise You Have

- 12+ years of experience in data engineering or BI development.

- Proven leadership in designing and delivering scalable data solutions in a collaborative, agile environment.

- Expertise in Snowflake, including data modeling, performance tuning, and integration.

- Advanced Power BI development skills with a strong portfolio of dashboards and reports.

- Deep understanding of data modeling (star/snowflake schemas) and scalable architecture design.

- Proficiency in SQL, PL/SQL, and ETL tools like Informatica.

- Experience with Airflow, Oracle, and OBIEE/OAS.

- Ability to drive architecture discussions, mentor engineers, and ensure QA readiness of deliverables.

- Strong communication, collaboration, and problem-solving skills.

Preferred Skills

- Experience with Snowflake features such as Snowpipe, Streams, and data sharing.

- Familiarity with cloud platforms (AWS, Azure).

- Knowledge of Power BI governance, security, and embedding reports.

- Hands-on experience with Python and other BI tools (e.g., Tableau, QlikView).

- Ability to evaluate and adopt emerging technologies and patterns.

The Skills You Bring

Working in a team of developers and analysts to deliver business value by coordinating with Architects, Analysts and Product owners
Strong collaboration skills
Excellent communication skills required
Strong problem resolution skills required
Critical thinking and the ability to work in an agile environment

The Value You Deliver

Accountable for consistent delivery of functional software – sprint to sprint, release to release
Perfection in software development practices and procedures
Participates in application-level architecture – able to drive the solution
Develops original and creative technical solutions to ongoing development efforts
Responsible for QA readiness of software work you are doing (end-to-end tests, unit tests, automation)
Responsible for supporting implementation of initiatives
Works on sophisticated assignments and often multiple phases of a project
Assists in developing departmental technical policies and procedures

How Your Work Impacts the Organization

WS (Workplace Solutions) helps our customers save and invest through workplace retirement savings plans, build lifetime relationships with customers and provide employers with cost-effective, integrated employee benefit solutions. WS serves customers online, over the phone, and through a nationwide network of investor centers. WS is also committed to helping drive employee retirement readiness by delivering leading-edge financial solutions to employers, including recordkeeping, cash management products and services and personal advisory services (PAS).

The Expertise we’re looking for

12+ years of experience in Data Warehousing, Big data, Analytics and Machine Learning
Graduate / Post Graduate

Location: Bangalore

Shift timings: 11:00 am - 8:00pm

Certifications:

Category:

Information Technology","hiringOrganization":{"@type":"Organization","name":"Fidelity Investments","sameAs":"https://www.fidelity.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Off Embassy Golf Links Business Park, Bangalore India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Data Engineering","datePosted":"2025-08-15","description":"

Company:

MMC Corporate

Description:

Senior Data Engineer

We are seeking a Senior Data Engineer to join our Applications Development team at Mercer. This role will be based in Mexico City. This is a hybrid role that has a requirement of working at least three days a week in the office. As a Data Engineer at Marsh, you will conceptualize and implement the setup and management of the data platform built Databricks services across different regions.

We will count on you to:

Collaborate with stakeholders to understand data requirements and translate them into technical specifications
Design, develop, and implement data pipelines and ETL processes, ensuring thorough unit testing to validate functionality and performance.
Implement data quality checks and validation processes to ensure the accuracy and integrity of data throughout the pipeline
Coordinate with cross-functional teams to ensure alignment on project goals, timelines, and deliverables
Continuously monitor data workflows and pipelines for performance, reliability, and efficiency, implementing improvements as necessary
Create and maintain comprehensive documentation for data processes, architecture, and workflows to ensure knowledge sharing and compliance

What you need to have:

Bachelor’s degree in computer science, Data Science, Information Technology, or a related field
Proficiency in programming languages such as Python and SQL, along with experience in data modeling and database design
5+ years of experience working as a Data Engineer and possess a strong understanding of ETL and ELT concepts
Experience with API integration and Data ingestion from various sources, ensuring seamless data flow between systems
Proven ability to work collaboratively in a team environment
Good communication skills in English, both written and verbal, are essential.

What makes you stand out:

Familiarity with data processing frameworks, particularly Apache Spark.
Experience working with cloud platforms such as AWS or Azure.
Familiarity with data warehousing solutions and technologies, including Databricks and Snowflake.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X.

Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

","hiringOrganization":{"@type":"Organization","name":"Marsh McLennan","sameAs":"https://www.marshmclennan.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City - Paseo","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Data Engineering Lead","datePosted":"2025-08-15","description":"

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Position Overview:

The Technical Lead is responsible for the development and delivery of Cloud technical data solutions that support enterprise data management and data usage requirements. The Lead ensures that all technical data services and solutions are designed and implemented according to best practices and support firm regulatory, business enablement requirements. The Cloud data solutions should enable robust use of Artificial Intelligence and Machine Learning. The Technical Lead coordinates delivery of technical solutions across Data Engineering and Data Infrastructure services and engages with stakeholders to ensure that deliverables meet the business strategy and requirements within the agreed timelines.

Culture Vision Statement:

Our Africa Tech and Digital team is a dynamic community of self-starters and innovators who embrace change and the constant evolution of technology. We are committed to fostering an environment where curiosity thrives and creativity is celebrated. By leveraging AI-assisted tools and respecting diverse perspectives, we drive collaborative success while enhancing our collective knowledge and skills. We believe in the power of technology to transform and improve our processes, always seeking to challenge the status quo. Together, we work with urgency and empathy, united in our mission to create impactful solutions that benefit our firm and our clients.

Key Responsibilities:

1. Technical Data Strategy:

Implement technology that aligns with the business strategy and fulfills business and network requirements for data services.

Engagement and collaboration with internal and LoS technical teams to ensure alignment, awareness and adoption of technical data solutions and services in support of business requirements.

Forecast technology trends be able to proactively Identify technology pivots and roadmap. Evaluate new approaches, technologies, and services to ensure that Data solutions and services meet changing business demand and enable innovative solutions that can be implemented with agility, urgency and agency.

2. Data Modelling:

Implement data solutions that are in line with data modelling best practices.

Provide technical data services that meet the ongoing requirements of the business in a cost effective and efficient manner.

Implement data solutions and services promote ethical and responsible use of data within the firm.

Engage with local and global SMEs and teams to ensure that the technical data solutions and services adhere to standards, assist the firm in meeting regulatory requirements and align to the network roadmap.

3. Technical Standards:

Develop technical standards for each pillar of the Software Development Lfe0cycle (SDLC) in collaboration with other SMEs across AfricaTech.

Collaborate with, and assist, internal and LoS teams with understanding and implementing technical standards requirements of the firm and advise on best practices.

4. Solutions Design

Collaborate in product design sessions to provide input on technical data requirements and approaches that support the data requirements of the desired business product outcomes.

Assist with defining technical delivery plans that will meet the requirements for data-driven solutions.

Evaluate the delivery of data solutions to ensure that they support strategic deliver, meet business requirements and adhere to technical standards.

5. Operational Management

Act as a mentor to technical staff within the team.

Assist with the development of technical training curriculums.

Provide technical support and input into data communities of interest and practice.

Assist with internal and LoS data training programmes.

7. Continuous Improvement:

Identify opportunities to enhance data quality processes, tools, and techniques, leveraging innovative approaches to improve overall data governance and quality strategies.

Contribute to ongoing assessments of the effectiveness of data quality practices, proposing adjustments based on industry trends and organizational needs.

Drive the optimisation and automation of redundant and obsolete processes

Master and champion, the use of AI tools in the delivery of Data Governance and Quality processes.

Qualifications and Skills:

Education:

Any Bachelor Degree in Computer Science or equivalent relevant work experience.

Certifications in Microsoft Databricks.

Experience: Minimum of 8 - 10 years of experience in cloud data engineering or related roles within a complex organizational environment.

Technical Skills:

Experience in designing and managing data warehouses.

Experience in ensuring data security and compliance with regulations, including encryption and privacy laws.

Data quality analysis skills.

Strong analytical and problem-solving abilities to interpret complex data and translate business requirements into technical specifications.

Proficiency in data mining, predictive modelling, and working with large datasets to uncover insights.

Designing and implementing enterprise data management frameworks.

Knowledge of data governance and data quality principles.

Large-scale technical data project implementation experience.

Ability to formulate and drive a technical data strategy and budget.

Ability to mentor and develop technical data teams.

Ability to facilitate broader staff training.

Ability to explain technical concepts at all levels.

Stakeholder engagement and strong communication skills at all levels.

Data modelling and identification and linking of Gloden Sources

Metadata Management

Technical skills including:

Azure cloud data services architecture (Synapse, Purview).

Understanding of API development (REST, SOAP, APIM).

DevOps experience (task management, code deployment, pipeline management).

Terraform experience.

SQL experience.

Python experience.

Power BI experience.

Alteryx experience.

Databricks experience (ideal).

MS Fabric experience (ideal).

Data modeling experience.

Phython

Use of AI and ML within Databricks and Synapse

Soft Skills:

Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders.

Analytical and detail-oriented mindset, with a proactive approach to problem solving and decision making.

Conclusion

At PwC, our purpose is to build trust in society and solve important problems. As we navigate an increasingly complex world, we are dedicated to ensuring that the systems on which communities and economies depend can adapt and thrive. Each role within our organization contributes to this mission, reinforcing our commitment to high ethical standards and the importance of trust.

Our five core values guide our actions and define who we are. They emphasize building trust through professionalism, ethical behavior, and a commitment to quality in all our interactions, whether with clients, colleagues, or the broader community. We respect privacy and confidentiality, and we strive for transparency in our operations, demonstrating care and integrity in our relationships.

As part of our human-led, tech-powered approach, we empower our people through technology and foster an environment were speaking up is encouraged, and diverse perspectives are celebrated. By embodying these principles in our daily work, we can collectively drive impactful outcomes that resonate with our clients and society as a whole. Together, let's embrace our purpose and values to create meaningful change.

The Data Governance and Quality Manager plays a critical role in establishing data governance frameworks that will build trust in our data, open revenues for data monetization and upholding the quality and integrity of the organization’s data assets. Your expertise in data governance and management practices and commitment to fostering a culture of accountability will significantly enhance the effectiveness of data governance initiatives within PwC Africa. You need to be passionate about data governance and PwC’s purpose needs to resonate with you.

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

Job Posting End Date

August 22, 2025

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Seeking an experienced and highly skilled Data Engineering Technical Lead to spearhead the design, development, and optimization of robust and scalable data pipelines and data infrastructure. This role requires a deep understanding of data engineering principles, advanced proficiency in distributed data processing technologies, and a proven track record of leading technical teams in an agile environment. The Technical Lead will play a critical role in shaping our data architecture, ensuring data quality and governance, and enabling data-driven initiatives across the organization, particularly within the healthcare and supply chain logistics domains. This role is 100% remote.

Key Responsibilities (Bullets):

Lead, mentor, and guide a team of data engineers in best practices for data pipeline development, data modeling, and infrastructure management. Provide technical oversight and ensure adherence to architectural standards.
Drive the design and implementation of highly scalable, reliable, and efficient data architectures, including data lakes, data warehouses, and streaming platforms. Define technical roadmaps and strategies for data engineering initiatives.
Design, develop, and maintain complex ETL/ELT processes and data pipelines using modern data engineering tools and frameworks (e.g., Apache Spark, Kafka, Airflow). Ensure data ingestion, transformation, and loading processes are optimized for performance and reliability.
Establish and enforce data governance policies, data quality standards, and data security protocols. Implement robust monitoring and alerting for data pipelines and data quality issues.
Leverage expertise in cloud-based data platforms (e.g., AWS, Azure, GCP) to design and implement cloud-native data solutions, optimizing for cost, performance, and scalability.
Collaborate closely with product owners, data scientists, data analysts, and other engineering teams to translate business requirements into technical specifications and deliver data solutions that align with strategic objectives. Act as a primary interface with customers, business stakeholders, and cross-functional teams to gather requirements, provide updates, and ensure alignment on data initiatives.
Identify and resolve complex data-related performance bottlenecks and architectural challenges. Implement strategies for query optimization and data storage efficiency.
Actively participate in agile ceremonies, including sprint planning, backlog refinement, daily stand-ups, and sprint reviews, contributing to a culture of continuous delivery and improvement. Lead and own the full Software Development Life Cycle (SDLC) for data solutions, from conceptualization and design through deployment, testing, and operational support.
Create and maintain comprehensive technical documentation, including data flow diagrams, architectural designs, data dictionaries, and operational runbooks.

Minimum Qualifications

Bachelor’s Degree in a related field; Master’s Degree preferred
Industry leading certification for technical expertise preferred
12+ years of experience in a technical field with at least 2 years in a technical leadership or lead engineer role.

Other Job Specific Skills

\n
Expert-level proficiency in SQL and experience with relational and NoSQL databases.
\n
Extensive experience with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and stream processing technologies (e.g., Apache Kafka, Flink).
Strong understanding of data warehousing concepts, dimensional modeling, and data lake architectures.
Proven experience with cloud-based data platforms (e.g., AWS Redshift, S3, Glue, EMR; Azure Data Lake, Synapse, Databricks; GCP BigQuery, Dataflow).
Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Scala, Java).
Demonstrated experience with CI/CD practices for data pipelines and infrastructure as code (IaC).
Solid understanding of data governance, data security, and compliance best practices (e.g., HIPAA, GDPR).

\nQualifications\n

Compensation Ranges

Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.

EEO Requirements

It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.

All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.

Physical Requirements

The physical requirements described in \"Knowledge, Skills and Abilities\" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, \"light office duties' or \"lifting up to 50 pounds\" or \"some travel\" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.

Disclaimer

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

","hiringOrganization":{"@type":"Organization","name":"ASM Research","sameAs":"https://www.asmr.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, United States","addressCountry":"United States","addressRegion":"North America"}}}}]}

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