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We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity at Komodo Health

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At Komodo, we refine healthcare data to build a comprehensive Healthcare Map, integrating patient treatments and observations over time. Despite challenges posed by duplicative, inconsistent, and missing data from various vendors, we enrich the information with context data detailing attributes like drugs, procedures, and insurance coverage, derived from event data and external feeds. Our goal is to offer valuable insights beyond traditional claims reselling, ensuring accessibility to all customers, regardless of their level of expertise.

Reporting directly to the Engineering Manager, you will be solving complex data challenges while designing and implementing data processing and transformation at a scale that powers state-of-the-art interactive product experiences. You will enable smarter, more innovative uses of healthcare data by building robust data pipelines and implementing data best practices.

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Looking back on your first 12 months at Komodo Health, you will have…

Gained an understanding of the broader Komodo Health data landscape and being part of architectural decisions for the Healthcare Analytics and Platform as a Service offerings
Played a pivotal role in building foundational elements of the data platform architecture and pipelines, collaborating closely with cross-functional teams.
Building foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform

You will accomplish these outcomes through the following responsibilities…

Partnering with Engineering team members, Product Managers, Data Scientists, and customer-facing teams to understand complex health data use cases and business logic
Being curious about our data
Building foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform
Architecting and developing reliable data pipelines that transform data at scale, orchestrated jobs via Airflow, using SQL and Python in Snowflake
Contributing to python packages in Github and APIs, using current best practices

What you bring to Komodo Health:

Expertise in writing enterprise-level code and contributing to large data pipelining and API processing with Python
Experience with SQL and query design on large, complex datasets
Ability to use a variety of relational, NoSQL, Postgres, and/or MPP databases (ideally Snowflake on AWS) and leading data modeling, schema design, and data storage best practices
Demonstrated proficiency in designing and developing with distributed data processing platforms like Spark and pipeline orchestration tools like Airflow
A thirst for knowledge, willingness to learn, and a growth-oriented mindset
Committed to fostering an inclusive environment where your teammates feel motivated to succeed
Excellent cross-team communication and collaboration skills
Ability to leverage AI tools (Gemini, ChatGPT, Cursor, etc.) to enhance personal productivity, streamline workflows, or improve decision-making

Additional skills and experience we’d prioritize (nice to have)…

Experience enhancing CI/CD build tooling in a containerized environment, from deployment pipelines (Jenkins, etc), infrastructure as code (Terraform, Cloudformation), and configuration management via Docker and Kubernetes
US health care data experience is not required but it is a strong plus
Experience interacting with, managing, or building with AI agentic workflows

#LIRemote

Compensation at Komodo Health

The pay range for each job posting reflects a minimum and maximum range of pay that we reasonably expect to pay across all U.S. locations and may span more than one career level. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The U.S. national starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan.$1—$2 USD

Komodo's AI Standard

At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence.

Where You’ll Work

Komodo Health has a hybrid work model; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options.

What We Offer

Positions may be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with 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.

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About us:

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Team overview:

Roundel is Target’s entry into the media business; an advertising sell-side business built on the principles of first party (people based) data, brand safe content environments and proof that our marketing programs drive business results for our clients. We operate with the ethos of trust and transparency and that media works best when it works in everyone’s best interest. At the very root of that, Roundel is here to drive business growth for our clients, and redefine “value” in the industry by solving core industry challenges by building innovative solutions and products. We are here to drive a key growth initiative for Target and to lead the industry to a better way of operating within the media marketplace. One of the key offering by Roundel to our clients for engaging with high-intent shoppers in Target is “Target Product Ads (TPA)”. These are native ad placements placed where shoppers are actively searching and browsing for products

You will be working on Data Foundations which is the data platform for Roundel data needs. The role will be focused on:

Data Infrastructure Development: Lead the design and implementation of a scalable and robust data infrastructure that supports real-time & batch data processing and analytics.
Data Quality and Governance: Establish and enforce data quality frameworks and governance policies to ensure data integrity and reliability.
Data Transformation Layer Management: Oversee the data transformation processes, ensuring efficient and accurate transformation, enrichment, and normalization of data.
Data as a Service (DaaS): Develop strategies to offer data as a service to internal and external stakeholders, ensuring flexible and scalable access to high-quality data sets.
Monitoring and Observability: Implement comprehensive monitoring and observability tools to proactively detect and resolve issues, ensuring system reliability.
Cross-functional Collaboration: Collaborate with engineering, analytics, creative, and performance teams to align data strategies and ensure seamless integration with ad-serving platforms.

Product Teams at Target Corporation are accountable for the delivery of business outcomes enabled through technology and analytic products that are easy to use, easily maintained and highly reliable. Product teams have one shared backlog that is inclusive of all product, technology and design work.

Role overview:

As a Product Manager for Roundel's Data Foundations team, you will work in the product model and will collaborate with your product team and key stakeholders to develop a plan and business objectives (OKRs) for your respective product. You will need to build a strong knowledge of your product through product discovery to collect customer feedback and work to collect other relevant data points that explain the value and help you prioritize the direction and desired outcomes for your product. You will work in unison with engineers, UX designers, data scientists and business partners to deliver a product.

You will be the “voice of the product” with your product team and stakeholders to ensure that their needs are met, and you will be responsible to maintain and refine the product backlog (create user stories & acceptance criteria) while prioritizing the backlog to focus on the highest impact work for your team and stakeholders.

You will encourage the open exchange of information and viewpoints, as well as inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction. You will foster sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About you:

Four-year degree or equivalent experience
4+ years of Product management experience or equivalent domain experience
Experience working on Data platform & understanding of Data processing frameworks (e.g., Hadoop, Spark), real-time data technologies, data transformation framework and AI/ML integration.
Technical aptitude
Experience working in an agile environment
Strong communication skills

Useful Links:

Life at Target: https://india.target.com/
Benefits: https://india.target.com/life-at-target/workplace/benefits
Culture: https://india.target.com/life-at-target/belonging

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Minimum qualifications:

Bachelor's degree or equivalent practical experience.
3 years of experience in product management or related technical role.
1 year of experience taking technical products from conception to launch.
Experience with data infrastructure.

Preferred qualifications:

Master's degree in a technology or business related field.
2 years of experience in a business function or role such as marketing, business operations and consulting.
2 years of experience in preparing and delivering technical presentations to executive leadership.
2 years of experience working cross-functionally with engineering, UX/UI, sales finance and stakeholders.
1 year of experience in software development or engineering.
Knowledge in building accessibility best practices and experience in incorporating them into product development methodologies.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As a Product Manager focused on Caching and AI integration, you will identify and prioritize product gaps and feature requests, define and launch new features through customer insights and go-to-market support and drive initiatives that enhance Google's Artificial Intelligence (AI) efforts.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $132,000-$189,000 + 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 $132,000-$189,000 + 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

Communicate the defined product goal in a way that captures attention and motivates action despite obstacles and priorities.
Act as the bridge between internal customers and the caching engineering team to identify product gaps, prioritize feature requests and contribute to the product roadmap.
Define new features for the product portfolio based on pre-identified capabilities or customer feedback requiring exploration.
Support engineering teams in launching new features by delivering go-to-market materials and contributing to overall advocacy efforts.
Explore ways for caching products to support and accelerate Google’s AI efforts.

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Company Description

Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide.

Natixis in Portugal is part of the Global Financial Services division, where it applies technology for the development of financial expertise in its two global business lines – Corporate & Investment Banking and Asset & Wealth Management – and, transversally, for the entities of Groupe BPCE.

The Centre of Expertise, based in Porto, currently has more than 2,400 employees from over 30 nationalities, organised in three main departments: Information Technology, Banking Support Activities and Compliance. These teams work in an integrated, inclusive and transversal way, supporting and creating value for all the business lines and platforms of the group. The project in Porto is one of the biggest investments in Human Resources ever made by Groupe BPCE worldwide.

A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem.

In 2024, Top Employers Institute has awarded Natixis in Portugal the Top Employer Portugal accreditation for the second time. This certification recognizes excellence in people practices, following the example of our head office, in France, who was certified Top Employer France for the eight year in a row.

Job Description

We are looking for a Senior Data Engineer to join the IT Payments Data Team. The project is being developed by a team that is present in Paris and Porto and is mainly responsible for the evolution and support of the product. Designing, developing, and implementing scalable and efficient data solutions for the payments domain.

Main tasks:

Participate as a technical referent in developing code for processing and analyzing large amounts of data (e.g. unstructured tracking data, large full-text data sets, graph data, etc.).
Design and implement highly scalable batch or real-time data processing workflows/components and products that make smart use of data to provide data-driven functionality (e.g. search services, recommender services, classification services, etc.), leveraging machine learning, Big Data technology, and distributed systems.
Build, monitor and operate services delivery within the Natixis infrastructure, while enhancing data quality/utility and automating processes.
Deploy solutions on cloud technologies, mainly GCP (Google Cloud Platform)
Work in a cross-functional team and collaborate closely with Data Scientists and Analysts to support the (technical) design, implementation and evaluation of new algorithms, machine learning models and other data-driven features and services.
Guide and support team members through technical issues and challenges related to data engineering and the uses tech stack.

Qualifications

Degree in Information Technology or Computer Engineering, Computer Science or a related field.
Between 3 to 9 years of experience in designing and implementing scalable software and data-driven services using Big Data technologies, data storages (e.g. relational databases, key-value stores), data warehouses, data lakes, data lakehouses and related data processing technologies, as well as programming languages such as Spark / Python / Java / Scala (for real-time and batch processing).
Experience in building and optimizing data pipelines that process large datasets using Spark and cloud computing environment.
Experience with working on cloud environments especially with data related services, for example BigQuery, BigTable, Dataproc, GCS, Composer, GKE on Google Cloud Platform and low-code/no-code (e.g YAML) approaches for ETL tools.
Experience in Business Intelligence and SQL utilization on analyzing large datasets.
Experience with workflow management platforms (like Airflow) and collaborative platforms (like Jupyter)
Some experience in the domain of information retrieval, information extraction or machine learning/AI concepts and technologies is a plus.
Good knowledge of Agile methodologies (SAFe / Scrum).
In-depth understanding of software development processes, CI/CD methodologies, Devops overview and quality assurance practices. (e.g. XLRelease/XLDeploy, Terraform, Jenkins, GIT, Bitbucket, etc)
Microsoft Azure and PowerBI is a plus.
Familiarity with AI concepts and technologies is a plus but not a primary focus of the role.

Additional Information

#MuchMoreThanJustAJob

Early morning. Campo 24 de Agosto. In 4 minutes, you are clocking in at the office. After grabbing a cup of coffee and fresh fruit, pick up your laptop and choose your spot for the day. It's going to be a busy one: French class before lunch and, just after, quick medical appointment at Natixis doctor's office.

Lunch break. Outside in the big terrace (look at your crops at the Urban Garden; ready to harvest!) or, if you feel like stretching your legs, walk downtown to grab lunch.

Back inside. Quick sprint review (working together anywhere means virtual happy birthday to that colleague in Paris that just turned 35). The afternoon went flying (tasks, reports, calls, some jokes with your teammates). End it on a high note: just one PlayStation game or the final match for that ping-pong tournament.

Tomorrow, you complete that certified technical training and the day after, you will work from home, taking advantage to finally do that online course on Udemy. Once you are done with your tasks for the day, you can visit the office for a board games session or show up at the rehearsal of one of Natixis bands. If that is too steady for you, meet your colleagues to surf some waves or join them in a football match.

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Citian is a fast growing, venture backed SaaS technology company based in Washington, DC. Our software solutions revolutionize how our transportation systems – roads, rail, transit, bicycle, pedestrian – operate.

Our tech solutions:

Reduce traffic fatalities
Enhance pedestrian accessibility
Empower system operators to save time & money

You’ll work with some of the brightest minds in the software and transportation industries. Our software engineers and data scientists apply the latest in emerging tech, Artificial Intelligence, and Machine Learning to build smarter, more advanced tools for our diverse client base. We work with clients across the United States, with global ambitions in the years ahead.

Who You Are:

We are looking for a versatile and adaptable Senior Data Engineer who thrives in a startup environment. You are someone who enjoys working in a fast-paced and agile setting, where you can make a significant impact and help shape the direction of our data engineering initiatives. You exhibit excellent knowledge of data engineering disciplines, including experience working with large datasets in a Python/SQL environment. You will also have hands-on knowledge of the latest data programming approaches, data structures, distributed DBMS and DB modeling and access languages. Additionally, your ability to architect and build pipelines will contribute to the development of our data-driven solutions.

As a self-starter, you are not afraid to take ownership of projects and can handle the challenges that come with a rapidly evolving startup. You are resourceful, innovative, and continuously seek opportunities to improve processes and drive efficiency. Your strong communication and collaboration skills enable you to work effectively with cross-functional teams and stakeholders. If you are passionate about data engineering and are eager to contribute to the success of a startup, we would love to hear from you.

Expected Duties:

Collaborate closely with data scientists, software engineers, and other stakeholders to develop and implement data-driven solutions that transform transportation systems.
Architect and build scalable and efficient data pipelines and ETL processes to collect, process, and store large volumes of data, playing a crucial role in laying out the processes and foundations of our Data Engineering initiatives
Optimize database structures and data models for performance and scalability.
Ensure data quality and integrity by implementing data validation and cleansing techniques.
Establishing policies, processes, and controls in data governance to ensure the integrity, quality, and security of data assets in a way that achieves regulatory compliance.
Work with cloud computing infrastructure to adequately scale data pipelines while actively maintaining cost efficiency and speed.
Research and evaluate emerging technologies, tools, and frameworks to enhance data engineering processes.
Adapt quickly to changing requirements and priorities in a startup environment.
Mentor and guide junior engineers, fostering a culture of continuous learning and growth within the team.
Collaborate closely with cross-functional teams to align engineering efforts with product and business objectives.
Drive innovation and brainstorming sessions to tackle transportation engineering challenges and develop cutting-edge solutions.
Implement modern solutions and tools to enhance the efficiency and effectiveness of our software development processes.
Ensure the team meets tight deadlines and delivers high-quality software solutions consistently.
Scale yourself by effectively coordinating solutions for operational problems, bugs, requirements, and processes.
Adapt to change and be flexible in expectations, goal settings, and technology choices.
Challenge team members to achieve their best while fostering a culture of productivity and excellence.
Engage in data science work, leveraging your expertise to contribute to the development of data driven solutions.

Required Skills & Experience:

Bachelor's in Computer Science, Data Science, or a related field
7+ years of experience in data engineering, preferably in a startup or fast-paced environment, with prior leadership roles
Strong proficiency in SQL (for DDL operations, DML operations, data architecture, etc.)
Strong proficiency in Python and Jupyter (for exploratory data analysis, writing scripts, aggregating datasets, working with data scientists/GIS developers, etc.)
Knowledge of data modeling, data warehousing, and ETL processes

Experience with cloud-based data platforms such as Snowflake and AWS

Experience working with DBMSs such as PostgreSQL and MySQL
Familiarity with extracting, analyzing, and mapping geospatial data and GIS systems

Familiarity with distributed systems and big data technologies such as Apache Spark

Understanding of data visualization concepts and tools
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Ability to work independently and adapt to changing priorities
Passion for learning and keeping up with the latest trends in data engineering and technology

Your Citian Advantage:

Opportunity to gain valuable experience and make a significant impact in a fast growing, venture-backed tech startup
Competitive salary and benefits package including medical, dental, and vision insurance and generous paid time off.
401(k) company match and monthly commuter transportation benefit
On-site gym and free snacks in the office
High-growth potential and opportunities for advancement and more!

Let's build smarter cities together! Learn more about Citian here: www.citian.co

** Citian is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, clients, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Equal Opportunity/Affirmative Action Employer Minorities/Females/Protected Veterans/Persons with Disabilities

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We’re Underdog.

The fastest-growing sports gaming company, ever. We’re here to make sports more fun. We pair intuitive user experiences with innovative game designs to build the best experience for sports fans in America.

Since 2020, we’ve launched four of today’s most widely played fantasy games, and built the Underdog Sportsbook entirely in-house with our own tech. We move fast, act with urgency, and create experiences you won’t find anywhere else.

With a $1.2 billion valuation and backing from investors like BlackRock, Spark Capital, SV Angel, Mark Cuban, Kevin Durant, Adam Schefter, and more, we’re just getting started.

At Underdog, we play and win as a team. We take chances and are unafraid to attack hard problems. We face challenges with ambition and optimism. We play for the love of the game.

We’re Underdog. And winning as an Underdog is just more fun.

Join us.

As a Senior Data Engineer on the Data Engineering team at Underdog, you’ll focus on building robust data pipelines that empower cross-functional stakeholders including Marketing, Product, Analytics, and Data Science with reliable, actionable data. You’ll work closely with these teams to understand their data needs and deliver scalable solutions that support their top initiatives and priorities. This role blends hands-on pipeline development with shaping the future of Underdog’s evolving data platform.

About the role

You’ll be developing data pipelines and maintaining production quality datasets that support Underdog’s analytics, data science, and marketing teams
Design, build, and optimize scalable data platform infrastructure to support batch and real-time data processing and storage in the cloud
Collaborate with analytics, data scientists, engineers, and other business stakeholders to understand data requirements and translate them into scalable technical solutions
Implement and maintain monitoring, alerting, and logging mechanisms to ensure the health and performance of the pipelines and platforms
Perform validation and build data quality checks on production datasets and ensure there are minimal data quality issues
Communicate continuously about progress, blockers, and resolution steps to all relevant stakeholders

Who you are

5+ years of experience building scalable data pipelines in a cloud-native environment (AWS, GCP, or Azure)
3+ years of experience using dbt, Flink, or Spark for data transformations and BI tools such as Sigma or Looker
Advanced proficiency with Python and SQL
Hands-on experience with streaming data infrastructure such as Apache Kafka, Apache Flink, GCP Datastream or AWS Kinesis
Experience with DevOps practices such as CI/CD pipelines, and infrastructure-as-code tools (e.g. Terraform, CDK)
Strong ownership mindset; you’re focused on delivering results in a fast-paced, entrepreneurial environment
A proactive problem solver who finds and implements opportunities to improve systems and processes
Excellent communication skills, with the ability to influence and collaborate effectively across teams

Even better if you have

Strong interest in sports
Prior experience in the sports betting industry
Experience working highly regulated industries and familiarity with data privacy and compliance frameworks (e.g. GDPR, CCPA)
Knowledge of ML concepts, with some experience in building ML platforms

Our target starting base salary range for this position is between $150,000 and $190,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things.

What we can offer you:

Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
A $500 home office allowance
A connected virtual first culture with a highly engaged distributed workforce
5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents

#LI-REMOTE

This position may require sports betting licensure based on certain state regulations.

Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.

","hiringOrganization":{"@type":"Organization","name":"Underdog Fantasy","sameAs":"https://underdogfantasy.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States/Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-21","description":"Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. \n\n\n\n\n\n \n

phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
Fivetran, dbt, Atlation, Matillion Partner of the Year
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)
Recognized as an award-winning workplace in US, India and LATAM

Required Experience:

At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
Programming expertise in Java, Python and/or Scala
Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
SQL and the ability to write, debug, and optimize SQL queries
Client-facing English written and verbal communication skills and experience
Create and deliver detailed presentations
Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
4-year Bachelor's degree in Computer Science or a related field
Strong English communication skills (written and verbal)

Prefer any of the following:

Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
Multiple data sources (e.g. queues, relational databases, files, search, API)
Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

Why phData? We offer:

Remote-First Work Environment
Casual, award-winning small-business work environment
Collaborative culture that prizes autonomy, creativity, and transparency
Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
Accelerated learning and professional development through advanced training and certifications

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

","hiringOrganization":{"@type":"Organization","name":"phData","sameAs":"https://www.phdata.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"LATAM - Remote"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-22","description":"Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. \n\n\n\n\n\n \n

6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
Fivetran, dbt, Atlation, Matillion Partner of the Year
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)
Recognized as an award-winning workplace in US, India and LATAM

Unlock future opportunities at phData, where innovation meets data excellence. At phData we’re always on the lookout for top talent and we’re committed to expanding our network of skilled professionals. As our requirements evolve, we encourage you to apply and submit your resume here, even if there’s no role available at the moment. Your information will be added to our system, and we’ll notify you of relevant opportunities as they become available if you are a fit.

Required Experience:

At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
Programming expertise in Java, Python and/or Scala
Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
SQL and the ability to write, debug, and optimize SQL queries
Client-facing written and verbal communication skills and experience
Create and deliver detailed presentations
Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
4-year Bachelor's degree in Computer Science or a related field

Prefer any of the following:

Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
Multiple data sources (e.g. queues, relational databases, files, search, API)
Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

#LI-DNI

","hiringOrganization":{"@type":"Organization","name":"phData","sameAs":"https://www.phdata.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India - Remote","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-21","description":"About PushPress
PushPress is building the Intelligent Industry Ledger for boutique fitness.
We’re transforming how boutique gyms operate — and how the entire $100B fitness industry connects, transacts, and grows. Trusted by 5,000+ gyms and 500,000+ members, PushPress processes over $500M annually and is backed by Altos Ventures and Mucker Capital.
We're evolving from a traditional business system of record into an AI-powered Industry Ledger — an intelligent infrastructure layer that brings order to a highly fragmented boutique fitness industry. By unifying disconnected operators, workflows, and data into a single platform, we’re enabling faster decisions, new business models, cross-gym collaboration, and network effects that increase the value of every studio in our client base.
We’re a global team of builders, operators, and fitness fanatics on a mission to level the playing field for fitness entrepreneurs. If you're ready to help reshape an industry — let’s talk.
About The Role
We're building a data platform that handles analytics, reporting, and AI insights for our business. We’re looking to hire a Senior Data Engineer to join our Data squad, own key data areas and support company-wide projects. You'll design and maintain our data infrastructure - the pipelines that bring data in, the DBT models that transform it, and the systems that orchestrate everything. We use Snowflake, Paradime, Hevo, and Airflow. You'll work with Product, Marketing, Sales, Customer Experience (CX), and Finance teams to give them clean, reliable data for decisions. This job works well for someone who likes fast-moving startups and can handle different parts of the data process.\n

What You'll Do

Build and maintain data pipelines that pull in and transform data from different sources using Hevo or Fivetran
Create DBT models that let teams analyze data themselves and generate reliable reports in Metabase
Set up workflows and manage how data flows between systems using AirflowCreate data quality checks, alerts, and testing systems
Build datasets that data science, business teams, and AI applications can useWork with other teams to understand what they need and deliver useful data products
Review code and give feedback on architecture to keep engineering quality highHelp build data pipelines that work with AI, including parsing messy data and using LLMs (nice to have)

What You'll Need

5+ years doing data engineering with real production pipelines and data modeling
Strong SQL and Python skills, lots of experience with DBT
Good understanding of Snowflake - how to optimize queries, manage costs, set up access controls, and design schemas that scale
Experience with workflow tools like Airflow or Dagster
Know how to use data ingestion tools like Hevo or Fivetran
Bonus: Experience working with messy data and integrating LLMs (Claude, OpenAI, etc.)Can prioritize well and work across different areas (marketing analytics, sales reporting, product insights)
Good at communicating and taking ownership of your work

PushPress is dedicated to fostering an inclusive and dynamic workplace. We’re all about leveling up, and that means we don’t tolerate any form of discrimination or harassment. We’re committed to provide equal opportunities, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability, genetic info, veteran status, or any other legally protected characteristic.
At PushPress, we’re dedicated to helping both our technology and our team reach peak performance. Whether it’s with your proactive approach, eye for detail, or drive to make a meaningful impact, we’d love to hear from you. At PushPress, we’re all about pushing boundaries and achieving new personal bests—come join us and be part of our fitness-tech journey!","hiringOrganization":{"@type":"Organization","name":"PushPress","sameAs":"https://www.pushpress.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-21","description":"

Who We Are:

SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.

We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:

Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new.
Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always.
Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise.

Job Summary:

On the Data Engineering team we transform streams of data into insights that solve real world Pharmacy Benefits Management challenges. How? By leveraging LLMs where appropriate, to empower our Data Analytics and Machine Learning teams so that drug pricing is transparent and easy to understand. We deliver business impact by designing, implementing, and maintaining distributed systems to collect, aggregate, and govern pharmaceutical data. We leverage a collection of open source tools like Airflow and DBT built on top of industry leading data warehouses and use Python in our daily work.

In order to be eligible for this position applicants must be based in one of the following states: Arkansas, Arizona, California, Colorado, Florida, Georgia, Kansas, Minnesota, Missouri, Nevada, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin.

What you will do:

Design and implement scalable, performant data models to deliver rapid insights into drivers of drug prices and cost-savings opportunities.
Develop and optimize processes to improve the correctness and usability of 3rd party data.
Implement data quality principles to raise the bar for reliability of data shared internally and externally.
Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance.
Apply AI best practices to document data engineering processes, data models.
Be a role model and mentor to junior team members by providing technical guidance and support.

What you will bring to SmithRx:

8+ years of industrial experience in data engineering, including demonstrated expertise in data warehouse technologies. (e.g. Snowflake)
Master’s degree in Computer Science, Information Technology, or a related field
Strong programming skills, in languages including C#/C++, Go, Java, Python/PySpark, Scala, and SQL
Mastery of data modeling concepts and database design principles as evidenced by production-grade implementations.
Hands-on experience with leading ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, DBT, Looker, Superset).
In-depth experience with entire data lifecycle, from ingestion to processing to usability by various business functions
Direct ownership and responsibility for development implementation, and production release of multiple data processing solutions, utilizing distributed systems.
Demonstrated ability to consistently deliver impactful outcomes for your team and the business through high personal output.
Ability to mentor engineers, improving their technical and non-technical skills to maximize their impact.
Proven ability to drive results in fast-paced growth environment, including navigating ambiguity and collaborating productively with business stakeholders
Start-up and healthcare experience is highly desirable.

What SmithRx Offers You:

Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
Flexible Spending Benefits
401(k) Retirement Savings Program
Short-term and long-term disability
Discretionary Paid Time Off
12 Paid Holidays
Wellness Benefits
Commuter Benefits
Paid Parental Leave benefits
Employee Assistance Program (EAP)
Well-stocked kitchen in office locations
Professional development and training opportunities

","hiringOrganization":{"@type":"Organization","name":"SmithRx","sameAs":"https://smithrx.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-21","description":"

Role overview

\n\n\n

As a Senior Data Engineer, you will develop high-performing data solutions that enable analytics, reporting, and downstream consumption across the business. This position offers the opportunity to influence technical direction, lead delivery on critical data flows, and collaborate closely with peers and leadership across the data and engineering organizations.

You will also share responsibility with your peers (other Senior and Principal Engineers) for operational support and essential platform tasks—ensuring consistent data quality and platform availability. This includes responding to production issues and fulfilling data platform requests that are foundational to business operations.

This role will ideally sit out of our Charlotte, NC HQ (Hybrid - In office Tues, Weds, Thurs).

What you'll do

Data Engineering & Platform Ownership

Design and implement scalable, cloud-native data pipelines, including both batch and streaming use cases (e.g., Azure Data Factory, Databricks, Spark, Kafka).
Build and maintain multi-dimensional data models optimized for performance, cost, and maintainability.
Integrate upstream data sources such as ERP, CRM, and external APIs into core data systems with attention to data integrity and lineage.
Optimize data flows for storage, processing, and performance using tools and best practices from the Azure ecosystem.

Operational Coverage & Shared Ownership

Participate in a weekly on-call operational rotation shared across Senior and Principal Engineers.
Own resolution of production issues during coverage weeks, including root cause analysis and stakeholder communication.
Complete both complex and foundational data tasks (e.g., adding new attributes to tables) when supporting operations—ensuring platform reliability and agility.
Prepare operational metrics and contribute to process improvement efforts that drive system performance and team efficiency.

Collaboration & Delivery

Partner with product managers, analysts, and engineering peers to understand business needs and deliver well-architected data solutions.
Provide peer mentorship and participate in code and design reviews to elevate team standards.
Contribute to team documentation, reusability practices, and internal knowledge sharing.
Influence decisions around tooling, pipeline design, and architectural trade-offs.

What we're looking for

4 or more years of experience in data engineering, software engineering, or similar technical roles with strong data focus
Advanced proficiency in Python and SQL, with ability to design efficient data transformations and workflows
Experience designing and implementing large-scale ETL pipelines and working with event-driven architectures (e.g., Kafka, Event Hub)
Strong knowledge of data warehousing concepts, dimensional modeling, and modern data architectures (e.g., data lakes, lake houses)
Hands-on experience with Data Services (e.g., Data Factory, Databricks, Synapse, Azure Functions)
Extensive experience working with a major cloud platform (preferably Azure), including data architecture and platform design considerations
Solid understanding of DevOps principles, version control (e.g., Git), and CI/CD practices for data systems
Ability to balance technical execution with operational ownership, including working independently and prioritizing effectively during on-call weeks

Bonus points

Exposure to metadata management, observability tooling, and data lineage best practices
Familiarity with data governance and compliance frameworks (e.g., SOX, GDPR)
Demonstrated ability to mentor junior engineers or lead small projects
Experience delivering data products that align with business objectives and enable decision-making
Comfortable working in Agile teams and iterating quickly with cross-functional partners
Experience with Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates for provisioning cloud infrastructure

About AvidXchange

AvidXchange is a leading provider of accounts payable (“AP”) automation software and payment solutions for middle-market businesses and their suppliers. By trade, we are a technology company, but if you ask anyone who works here, they’ll tell you our people are at the core of who we are. We focus on creating a culture of Diversity, Inclusion & Belonging, and are proud to be a safe place where teammates can bring their whole selves to work. At AvidXchange, mindset is everything. We are Connected as People, Growth Minded, and Customer Obsessed. These three mindsets represent our culture – who we are, who we’ve always been, and they guide us to improve every day. Since our founding in 2000 in Charlotte, NC, we’ve created a company of over 1,600 teammates working across the U.S., or remotely. AvidXchange is proud to be Certified™ as a Great Place to Work®. The prestigious recognition is based on anonymous data from our teammates and makes official what our teammates have known for years – that AvidXchange is a Great Place to Work®.

Who you are:

A go-getter with an entrepreneurial mindset – that means you are not afraid of taking risks, winning big or facing the unknown.
Someone who understands that business is people centric. Connecting with others as humans first allows you to develop mutually beneficial working relationships.
Focused on making a difference for our customers. AvidXchange exists to help solve complex problems for our customers so we can all realize our potential.

What you’ll get:

AvidXchange teammates (we call them AvidXers) get the perks and prestige of a publicly traded tech company paired with the flexibility of a founder-led startup. We help our AvidXers develop as professionals and as human beings, providing work/life balance, development programs, competitive benefits and equity options. At AvidXchange, we are building more than a tech company – we are building an experience. We remain committed to a culture where you can fully be 'you’ – connected with others, chasing big goals, and making a meaningful impact. If you want to help us grow while realizing your potential and creating stories you’ll tell for years, you’ve come to the right place.

AvidXers enjoy:

18 days PTO*
11 Holidays (8 company recognized & 3 floating holidays)
16 hours per year of paid Volunteer Time Off (VTO)
Competitive Healthcare

High Deductible Heath Plan Option that has $0 monthly premium for teammate-only coverage
100% AvidXchange paid Dental Base Plan Coverage
100% AvidXchange paid Life Insurance
100% AvidXchange paid Long-Term Disability
100% AvidXchange paid Short-Term Disability
Employee Assistance Program (EAP) - Provides counseling services, legal and financial consultations and health advocacy for Teammates and their eligible dependents
Onsite Health Clinic with Atrium Health - available to Teammates and their eligible dependents

401(k) Match: 100% match on the first 3% of your salary, plus 50% match on the next 2%
Parental Leave: 8 weeks 100% paid by AvidXchange**
Discounts on Pet, Home, and Auto insurance
BrightDime Financial Wellness Tool, offered free to teammates
WeeCare Childcare Service: helps teammates find affordable daycare, childcare, and tutors 40% less expensive than traditional daycare centers
Perks at Work: free discount program that provides teammates the opportunity to save on items from electronics, movie tickets, car buying, vacations, and more
Onsite gym fitness center, yoga studio, and basketball court
Tuition Reimbursement up to the federal maximum of $5,250***
Hybrid Workplace Flexibility
Free parking

*Fully granted from beginning of year, pro-rated if hired mid-year

**Must be full-time for at least 3 months

***Must be full-time for at least one year

Equal Employment Opportunity

AvidXchange is an equal opportunity employer. AvidXchange is committed to equal employment opportunity in accordance with applicable federal, state, and local laws. AvidXchange will not discriminate against applicants for employment on any legally recognized basis. This includes, but is not limited to veteran status, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age and physical or mental disability.

","hiringOrganization":{"@type":"Organization","name":"AvidXchange","sameAs":"https://www.avidxchange.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte, North Carolina, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-21","description":"

We are seeking a highly skilled and experienced Senior Data Engineer to lead the end-to-end development of complex models for compliance and supervision. The ideal candidate will have deep expertise in cloud-based infrastructure, ETL pipeline development, and financial domains, with a strong focus on creating robust, scalable, and efficient solutions.

Key Responsibilities:

• Model Development: Lead the development of advanced models using AWS services such as EMR, Glue, and Glue Notebooks.

• Cloud Infrastructure: Design, build, and optimize scalable cloud infrastructure solutions with a minimum of 5 years of experience.

• ETL Pipeline Development: Create, manage, and optimize ETL pipelines using PySpark for large-scale data processing.

• CI/CD Implementation: Build and maintain CI/CD pipelines for deploying and maintaining cloud-based applications.

• Data Analysis: Perform detailed data analysis and deliver actionable insights to stakeholders.

• Collaboration: Work closely with cross-functional teams to understand requirements, present solutions, and ensure alignment with business goals.

• Agile Methodology: Operate effectively in agile or hybrid agile environments, delivering high-quality results within tight deadlines.

• Framework Development: Enhance and expand existing frameworks and capabilities to support evolving business needs.

• Documentation and Communication: Create clear documentation and present technical solutions to both technical and non-technical audiences.

Requirements

• 10+ years of experience with Python programming.

• 5+ years of experience in cloud infrastructure, particularly AWS.

• 3+ years of experience with PySpark, including usage with EMR or Glue Notebooks.

• 3+ years of experience with Apache Airflow for workflow orchestration.

• Solid experience with data analysis in fast-paced environments.

Domain Expertise:

• Strong understanding of capital markets, financial systems, or prior experience in the financial domain is a must.

Technical Skills:

• Proficiency with cloud-native technologies and frameworks.

• Familiarity with CI/CD practices and tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.

• Experience with notebooks (e.g., Jupyter, Glue Notebooks) for interactive development.

Soft Skills:

• Excellent problem-solving skills and ability to handle complex technical challenges.

• Strong communication and interpersonal skills for collaboration across teams and presenting solutions to diverse audiences.

• Ability to thrive in a fast-paced, dynamic environment.

Preferred Qualifications:

• Experience with data governance and compliance frameworks.

• Familiarity with machine learning frameworks and techniques for financial modeling.

• Certifications in AWS or other cloud technologies.

Benefits

• Competitive compensation and benefits.

• Opportunity to work on cutting-edge compliance and supervision technologies.

• Collaborative and innovative work environment.

","hiringOrganization":{"@type":"Organization","name":"DATAECONOMY","sameAs":"https://www.dataeconomy.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tampa, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-20","description":"

About Calo

Launched in Bahrain in November of 2019, Calo is on a mission to make healthy easy. We’re a team of dedicated people driving this mission by providing better, faster, and cheaper ways to access food through technology.

Role Overview

Our tech sits at the heart of our product, and we’re looking for experienced people who are passionate about their work, think about the best possible ways to process data, understand the importance of data, and keep up with the latest technology. You’ll be playing a major role as part of our platform team.

Main Responsibilities

Design, build, and improve the infrastructure for ingesting, storing, and transforming data
Design, build, and enhance dimensional models for Data Warehouse and BI solutions
Work with other departments and support them with their data initiatives
Document new and existing models, solutions, and implementations

Ideal Candidate

Qualifications

5+ years of hands-on professional experience in data engineering-related roles
Experience in building and maintaining data platforms from scratch
Experience with AWS (Redshift, Glue, Lambda, S3, Kinesis, Athena)
Experience with BI solutions
Advanced skills with Python and SQL
AI experience is a plus

Personality

Strong communicator
Pleasant personality and able to lead with empathy and patience

","hiringOrganization":{"@type":"Organization","name":"Calo","sameAs":"https://calo.app"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bahrain - Remote","addressCountry":"Bahrain","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-21","description":"

Job Description

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as Senior Data Engineer at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. In this role, you will be responsible for development, code reviews, unit testing and implementation of data-related projects using AWS ETL Tools. You will convert business requirements into technical artifacts and contribute to the design, development, and enhancement as per the application roadmap.

To be successful as a Senior Data Engineer, you should have the following skills:

• Expertise in using SQL and Python for complex ETL pipelines

• Strong experience with AWS services, preferably S3, Lambda, Glue, Redshift, etc. for ETL solutions, or experience with Azure/GCP

• Knowledge of Databricks, Snowflake, PySpark, and DBT

• Knowledge or experience in relevant big data technologies

Some other highly valued skills may include:

• Experience in migrating ETL pipelines from on-premises systems to the cloud

• Knowledge of CI/CD pipelines and agile methodologies

• Previous experience with people leadership

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

The successful candidate will work from Prague.

","hiringOrganization":{"@type":"Organization","name":"Barclays","sameAs":"https://home.barclays/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gemini Building A, Prague, Czechia","addressCountry":"Czechia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-20","description":"ABOUT APPLY DIGITAL
Apply Digital is a global experience transformation partner. We drive AI-powered change and measurable impact across complex, multi-brand ecosystems. Leveraging expertise that spans across the customer experience lifecycle from strategy, design to engineering and beyond, we enable our clients to modernize their organizations and maximize value for their business and customers.
Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.
Apply Digital was founded in 2016 in Vancouver, Canada. In the past nine years, we have grown to ten cities across North America, South America, the UK, Europe, and India.
At Apply Digital, we believe in the “One Team” approach, where we operate within a ‘pod’ structure. Each pod brings together senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. This structure is underpinned by well-oiled scrum and sprint cadences, keeping teams in step to release often and retrospectives to ensure we progress toward the desired outcomes.
Wherever we work in the world, we envision Apply Digital as a safe, empowered, respectful and fun community for people, every single day. Together, we work to embody our SHAPE (smart, humble, active, positive, and excellent) values and make Apply Digital a space for our team to connect, grow, and support each other to make a difference.
Visit our Careers page to learn how we can unlock your potential.
LOCATION: Apply Digital is a hybrid friendly organization with remote options available if needed. The preferred candidate should be based in (or within a location commutable to) the Delhi/NCR region of India, working in hours that have an overlap with the Eastern Standard Timezone (EST).
ABOUT THE CLIENT
In your initial role, you will support Kraft Heinz, a global, multi-billion-dollar leader in consumer packaged foods and a valued client of ours for the past three years. Apply Digital has a bold and comprehensive mandate to drive Kraft Heinz’s digital transformation. Through implementable strategies, cutting-edge technology, and data-driven innovation we aim to enhance consumer engagement and maximize business value for Kraft Heinz.
Our composable architecture, modern engineering practices, and deep expertise in AI, cloud computing, and customer data solutions have enabled game-changing digital experiences. Our cross-functional team has delivered significant milestones, including the launch of the What's Cooking App, the re-building of 120+ brand sites in over 20 languages, and most recently, the implementation of a robust Customer Data Platform (CDP) designed to drive media effectiveness. Our work has also been recognized internationally and has received multiple awards.
While your work will start with supporting Kraft Heinz, you will also have future opportunities to collaborate with the global team on other international brands.
THE ROLE:
Are you passionate about building scalable data pipelines and optimizing data architectures? Do you thrive in a fast-paced environment where data-driven decision-making and real-time analytics are essential? Are you excited to collaborate with cross-functional teams to design and implement modern cloud-based data solutions? If so, you may be ready to take on the Senior Data Engineer role within our team.
As a Senior Data Engineer, you will play a key role in designing, building, and maintaining cloud-native data pipelines and architectures to support our Composable digital platforms. You will collaborate with engineers, product teams, and analytics stakeholders to develop scalable, secure, and high-performance data solutions that power real-time analytics, reporting, and machine learning workloads.
This role requires deep expertise in data engineering, cloud technologies (Google Cloud Platform - BigQuery, Lookers preferred), SQL, Python, and data pipeline orchestration tools (Dagster and DBT).\n

WHAT YOU'LL DO:

Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
Oversee the end-to-end management of the CDP platform, ensuring seamless integration across websites, mobile apps, CRM, adtech, and analytics systems to maintain data integrity and maximize activation potential.
Collaborate with marketing, product, and data teams to enable real-time data activation and personalized customer experiences using unified CDP profiles.
Build and maintain robust event instrumentation frameworks across digital properties to ensure accurate and consistent data capture for CDP ingestion and downstream use.
Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
Collaborate with analytics teams to define scalable data models, maintain robust documentation (data dictionaries, lineage, metadata), and continuously monitor and optimize pipelines while staying current with evolving data engineering best practices.

WHAT WE'RE LOOKING FOR:

Strong proficiency in English (written and verbal communication) is required.Experience working with remote teams across North America and Latin America, ensuring smooth collaboration across time zones.
5+ years of experience in data engineering, with expertise in building scalable data pipelines and cloud-native data architectures.
Proven hands-on experience implementing and managing CDPs like Twilio Segment (or similar CDPs), including event tracking plans, source/destination configuration, and identity resolution strategies.
Deep understanding of MarTech ecosystems and how CDP data integrates with advertising platforms (Meta, Google Ads), CRM tools, and experimentation platforms for personalization and performance measurement.
Strong proficiency in SQL for data modeling, transformation, and performance optimization.
Experience with BI and data visualization tools (e.g., Looker, Tableau, or Google Data Studio).Expertise in Python for data processing, automation, and pipeline development.
Extensive experience with cloud data platforms, especially Google Cloud (BigQuery, Cloud Storage, Pub/Sub), including hands-on implementation of ETL/ELT workflows using tools like DBT, Dataflow, or Apache Beam, and orchestration with Airflow, Dagster, or Cloud Workflows.
Understanding of data privacy, security, and compliance best practices.Strong problem-solving skills, with the ability to debug and optimize complex data workflows.Excellent communication and collaboration skills.

NICE TO HAVES:

Experience with real-time data streaming solutions (e.g., Kafka, Pub/Sub, or Kinesis).
Familiarity with machine learning workflows and MLOps best practices.
Knowledge of Terraform for Infrastructure as Code (IaC) in data environments.
Familiarity with data integrations involving Contentful, Algolia, Segment, and Talon.One.

LIFE AT APPLY DIGITAL
At Apply Digital, people are at the core of everything we do. We value your time, safety, and health, and strive to build a work community that can help you thrive and grow. Here are a few benefits we offer to support you:
Location: Apply Digital is a hybrid friendly organization with remote options available if needed. The preferred candidate should be based in (or within a location commutable to) Delhi/NCR, with the ability to overlap with the US/NA times zones when required.Comprehensive Benefits: benefit from private healthcare coverage, contributions to your Provident fund, and a gratuity bonus after five years of service. Vacation policy: work-life balance is key to our team’s success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being.Great projects: broaden your skills on a range of engaging projects with international brands that have a global impact.An inclusive and safe environment: we’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.Learning opportunities: we offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.
Apply Digital is committed to building a culture where differences are celebrated, and everyone feels welcome. That’s why we value equal opportunity and nurture an inclusive workplace where our individual differences are recognized and valued.
For more information, visit our website’s Diversity, Equity, and Inclusion (DEI) page. If you have special needs or accommodations at this stage of the recruitment process, please inform us as soon as possible by emailing us at careers@applydigital.com.","hiringOrganization":{"@type":"Organization","name":"Apply Digital","sameAs":"https://www.applydigital.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Delhi NCR","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-20","description":"

The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe.

We are looking for a skilled Senior Data Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and managing scalable data pipelines and infrastructure, with a focus on AWS cloud services. You will collaborate with cross-functional teams to support data-driven applications and analytics, ensuring efficient data flow and accessibility. The ideal candidate will thrive in an Agile project management setting and possess a strong background in data management and processing. The position is in Herndon, VA.

Responsibilities:

Design and implement robust data pipelines and ETL processes to ingest, transform, and load data from diverse sources into data warehouses
Develop and maintain data models and schemas to support analytics and reporting needs
Collaborate with software engineers, data scientists, and analysts to integrate data solutions into applications and workflows
Optimize data storage and retrieval for performance and scalability
Ensure data quality and integrity through validation, testing, and monitoring
Implement data security and compliance measures in accordance with organizational policies
Utilize AWS services such as S3 and RDS for data storage and processing
Develop APIs and interfaces to facilitate data access and integration
Participate in Agile development processes, contributing to sprint planning and reviews
Document data engineering processes, architectures, and best practices

Requirements:

5+ years of experience in data engineering, software development, or related fields.
Strong experience with SQL and relational databases, particularly PostgreSQL
Expertise with SQL scripting, database indexing, and optimization techniques
Proficient in working with views, triggers, and stored procedures
Experience in developing, creating, and modifying data structures and load routines for business use
Hands-on experience with AWS data services (e.g., S3, RDS, Glue, Redshift)
Familiarity with data modeling, ETL development, and data warehousing concepts
Experience with API development and integration
Knowledge of data security and compliance standards
Ability to work collaboratively in a team environment and communicate effectively with stakeholders
US Citizenship and an active TS/SCI with Polygraph security clearance required

Desired Experience:

Experience with AWS Cloud Data Migration Services
Familiarity with Jira for project tracking and management
Familiarity with containerization and orchestration tools like Docker and Kubernetes
Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation
Experience with data visualization tools like Power BI or Tableau
AWS certifications related to data engineering or architecture

Do you know anyone for this position, or other positions open at The Swift Group? We offer a $5,000 bonus for any referral candidate we hire, paid out at the new hire’s 90-day mark.

#LI-DI1

#Onsite

The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

Pay Range: $49,996.80 - $290,004.00

Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates.

At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.

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Company Overview

Founded in 2014, and listed on the ASX since 2015, Superloop’s purpose is to enable better internet for Australian homes and businesses, by enabling challenger retail brands to take a larger share of the market, leveraging Superloop’s Infrastructure-on-Demand platform.

Superloop operates in three segments of the market: consumer connectivity, business network and security solutions, and wholesale connectivity, all of which leverage Superloop’s investments in physical infrastructure assets including fibre, subsea cables and fixed wireless, as well as Superloop’s software platforms. Hundreds of thousands of homes and businesses rely on Superloop every day for their connectivity needs.

Visit www.superloop.com to learn more.

Business Unit Overview

The Strategy and Transformation team develop strategies and implement tools, systems and processes to drive long-lasting business value and performance for Superloop. There are five key pillars to the Strategy and Transformation team including:
data and analytics; strategy; transformation; PMO; and mergers and acquisitions. If you have a passion for making significant change and solving complex challenges in the telecommunications industry, come join our team at Superloop.

Role Purpose and Accountabilities

The Data and Analytics team is in the process of setting up its central data repository (Data Warehouse) and is looking for an experienced Data Engineer. In this role, you will play a crucial part in maintaining our data warehouse, including assisting with its initial setup and ongoing management of ETL processes and the integration of new data sources. In particular, the role will be accountable for

Be a conduit between analysts and system developers, collaborate with cross-functional teams to understand data requirements and design efficient data warehouse solutions.
Build and maintain data pipelines, ETL processes, and data ingestion workflows to ensure data accuracy, completeness, and reliability.

Perform data profiling, cleansing, and transformation to prepare data for analytics and reporting.

Monitor and optimize the performance of the data warehouse, addressing any issues or bottlenecks as they arise.

Ensure data security, compliance, and governance standards are met, including data encryption, access controls, and audit trails.

Collaborate with Data Analysts to support their analytical needs by providing clean and well-structured data.

Stay up to date with industry best practices and emerging technologies to continuously improve data engineering processes.

Qualifications and Experience

Bachelor's degree in Software Engineering, Computer Science, Information Technology, or a related field (or equivalent work experience).

Proven experience as a Data Engineer or as a, Software Engineer, with a strong focus on data warehousing and ETL processes.

Proficiency with SQL.

Proficiency in data warehousing and data processing.

Strong SQL skills for data querying, manipulation, and optimization.

Proficiency in Python for scripting and automation of data processes.

Experience working with Data Lakehouse technologies and platforms.

Experience working with large volumes of data and complex data models.

Knowledge of data integration techniques and tools.

Proficiency in data orchestration concepts and tools.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills to work effectively with cross-functional teams.

Experience with telecom industry preferred.

Experience with AWS Redshift and Apache Sparks will be an added advantage.

\n","hiringOrganization":{"@type":"Organization","name":"Superloop","sameAs":"https://www.superloop.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Colombo, Sri Lanka","addressCountry":"Sri Lanka","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-18","description":"

We are seeking a skilled Data Engineer with a strong software engineering foundation to join our dynamic team. In this role, you will design, develop, and deliver production-grade data solutions that drive business value. You will collaborate with cross-functional teams to build scalable, reusable data pipelines and systems, ensuring high performance, reliability, and maintainability.

Key Responsibilities

Design and implement modular, reusable core shared libraries to support scalable data solutions.
Develop and maintain robust data pipelines using Python to process and transform JSON and relational data.
Collaborate with stakeholders to understand data requirements and deliver production-ready solutions.
Optimize data workflows for performance, scalability, and reliability in production environments.
Ensure data integrity, quality, and accessibility across systems and applications.
Contribute to best practices for data engineering, including code reviews and documentation.

Must-Have Qualifications

Experience: Minimum of 4+ years delivering production-grade data solutions.
Technical Expertise:
Strong software engineering skills with a focus on modular design and reusable code.
Proficiency in Python for data processing and pipeline development.
Extensive experience working with JSON data and relational databases (e.g., SQL).
Problem-Solving: Ability to architect efficient, scalable solutions for complex data challenges.
Collaboration: Proven ability to work effectively with cross-functional teams.

Nice-to-Have Qualifications

Experience with Node.js and/or JavaScript for data-related applications or integrations.
Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) for data engineering tasks.
Knowledge of data orchestration tools (e.g., Apache Airflow) or modern data frameworks.

This position is open to Latin America and Canada only.

","hiringOrganization":{"@type":"Organization","name":"Perform","sameAs":"https://www.totalperform.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-16","description":"

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

SS&C Bluedoor – Senior Data Engineer

Job Description

Reports to:

Capability Director – Data Engineering

Opportunity snapshot:

SS&C Bluedoor is going through an exciting period for growth in the APAC region. As the part of this growth, we have a need for a visionary and technically skilled Senior Data Engineer to join the team for the design, development, and optimisation of our enterprise data platform. This role is pivotal in shaping our data platform strategy, ensuring scalability, reliability, and performance across our data ecosystem.

Key accountabilities:

Contribute to the architecture and design of scalable, secure, and high-performance data platforms.
Responsible for the design and implementation of the Data platform using modern data stack technologies including but not limited to:

- Event-driven and batch data based data ingestion and pipelines (e.g., Debezium, Kafka, Flink, Spark, Data Lab)

- Data visualisation & reporting (e.g. SSRS, Pentaho, Data Lens)

- Data governance (e.g. Atlas)

Collaborate with data architect, principal/lead engineer, analysts, and other engineers to deliver robust data solutions.
Lead the implementation of automations by using tools like Terraform, CloudFormation, and CI/CD pipelines.
Ensure data platform reliability, performance, and security.
Mentor and guide junior engineers and contribute to a culture of technical excellence.
Evaluate and integrate emerging technologies to enhance platform capabilities.
Responsible for the incident response and root cause analysis for data platform issues.

Technical Knowledge & Skills:

Expert in
GitHub, Automation, Code/Release management, Private/Public Cloud, Docker/Kubernetes, Streaming technologies (e.g. Debezium CDC, Kafka, Flink), ETL/ELT data pipeline build, Databases (e.g. MS SQL, Postgres), data analytics and reporting (e.g. SSRS, SQL)
Expert in
Verbal and Written Communications, Software Development Life Cycle, Automations, Governance
Proficient in
JIRA, Confluence, Python, Java, .Net

Qualifications & Experience

The following qualifications will be highly regarded:

Hands on experience with AI, LLM
Experience working with geographically distributed teams
Experience working in a matrixed organisation

Personal Attributes:

Technical savvy
Growth mindset
Passionate about continuous improvement
Calm and affirmative when solving conflicts
Ability to develop strong working relationships
Excellent communication skills – both written and verbal
Ability to stick to time constraints
Commercial and business acumen

Key behaviours:

Instils Trust – Must be seen to be truthful and follow through on commitments. Customers and Partners must feel that they are being listened to and understood. The right candidate will be able to be trusted with sensitive and confidential information.
Collaborate – Must be able to work in a co-operative manner with both internal and external teams and take all views and interests into account when formulating outcomes.
Ensure Accountability – Must take full ownership of their assigned responsibilities and the outcomes that are generated and pursued, including any failures.
Customer Focus – Must understand internal and external customer needs from both a functional and operational perspective. Will be seen as a specialist by Customers, who are willing to trust the views and direction of the team as portrayed by the candidate
Develop Talent – Must be seen as a reference point for others, who are willing to pass on their knowledge to improve the overall level of understanding across the group. This should be via coaching, support, reviews and feedback.
Communicate Effectively – Must be able to communicate effectively and efficiently, both in written and verbal forms, across all levels of an organisation and all sizes of groups. Must also be able to listen to others and evidence that they have understood the needs communicated appropriately

Why You Will Love It Here!

: Hybrid Work Model and Business Casual Dress Code, including jeans, Centralized location – 6 minutes’ walk from Phromphong BTS or 10 minutes’ walk from Sukhunvit MRT
Your Future: Retirement Program, Professional Development Reimbursement
Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays, Business Leave, Maternity Leave, Ordination Leave
Your Wellbeing: Medical, Dental, Vision, Life Insurance, Annual Health Check Up, Employee Assistance Program, Parental Leave, Well-Stocked Pantry and Provident Fund Contribution
Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
Hands-On, Team-Customized, including SS&C University
Paid further education opportunities for employees who are eligible
Extra Perks: Bonus Scheme, SS&C Stock(s) Allocation for employees who are eligible
Welfare Committee: Discounts on fitness clubs, travel and more!

#LI-NW1

#CA-NW

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

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About Us

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

\n\n\n\n\n\n\n

Code-based data transformations unlock transparency, flexibility, and collaboration
Analysts should adopt software engineering best practices to build trusted data products
Core analytics infrastructure should be open source and user-controlled
Analytic code—not just tools—should be shared and community-driven

\ndbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.\n \n\n\n\n\n

As a Senior Data Engineer at dbt Labs, you'll take the lead in designing, building, and owning core components of our data ecosystem—from infrastructure to pipelines to data products. This data foundation is essential for enabling analytics, accelerating growth, and improving operational efficiency across the business. You’ll be part of a tight-knit, strategic team that combines strong technical execution with a bias for impact and cross-functional influence.

This is a unique opportunity to join a team involved in using dbt Labs products daily to build the company's internal data capabilities. This group is responsible for building and maintaining foundational data infrastructure that powers critical business decisions across the company. With executive visibility and deep cross-functional impact, the work you do here will directly influence the trajectory of our growth. If you're excited by the challenge of building from the ground up, solving complex technical problems while utilizing cutting edge technology, and driving business strategy through data, this is your chance to make a lasting mark.

In this role, you can expect to:

Design, build, and manage scalable, reliable data pipelines that ingest product and event data into our data stores
Develop and maintain canonical datasets to track key product and business metrics—user growth, engagement, revenue, and more
Architect robust, reliable systems for large volume batch data processing
Drive decisions on data architecture, tooling, and engineering best practices
Enhance observability and monitoring of existing workflows and processes
Partner cross-functionally with teams across Infrastructure, Product, Marketing, Finance, and GTM to understand data needs and deliver impactful solutions
Provide product feedback by “dogfooding” new data infrastructure and AI technology

You’re a great fit if you have:

Are an expert in SQL and Python
5+ years of experience as a data engineer, and 8+ years of total experience in software engineering (including data engineering roles)
Proficiency in at least one additional core Data Engineering language such as Scala, Java or Rust
Strong knowledge of data infrastructure and architecture design
Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect
A bias for action—able to stay focused and prioritize effectively

You’ll stand out if you have:

Experience developing and scaling dbt projects
Experience working in a SaaS or high-growth tech environment
Experience working with open table format (such as Apache Iceberg) data storage across regions and clouds

#LI-Remote

Compensation:

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

\n
- The typical starting salary range for this role is:
\n
$163,000 - $198,000 USD
\n
- The typical starting salary range for this role in the select locations listed is:
\n
$182,000 - $220,000 USD
\n
Equity Stake*
Benefits: \n
- dbt Labs offers:\n
  - Unlimited vacation (and yes, we use it!)
  - Excellent healthcare
  - Paid Parental Leave
  - 401k matching
  - Wellness stipend
  - Home office stipend, and more!
  \n
\n

What to expect in the hiring process (all interviews will be conducted via Zoom):

Interview with a Talent Acquisition Partner to align on the role and the skills and experiences we mutually value
Interview with Hiring Manager
White boarding session with a member of the data team.
White boarding session with a cross functional stakeholder.
Final wrap up/ values discussion with Data Leader

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

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EasyLlama is transforming the HR compliance industry by reinventing outdated and uninspiring training solutions and adapting them for the mobile-first generation. Our engaging, fun, and interactive training helps millions of employees worldwide build a safer, more positive, and inclusive workplace. As we continue to set the standard in compliance solutions, our vision extends far beyond training—we aim to partner with thousands of organizations to reduce employee risk and foster a more inclusive and secure environment for all.

With world-class customer reviews—boasting a 96% rating on G2 from over 100 reviews—and industry-leading NPS and Customer Satisfaction scores, EasyLlama is proud to have earned the trust of over 5,000 clients, including brands like Shake Shack, WeightWatchers, Sephora, JiffyLube, and Y Combinator. Our mobile-friendly platform delivers on-demand, self-paced, and bite-sized solutions that meet employees where they are, increasing engagement and retention.

At EasyLlama, we are not just transforming compliance training—we are challenging the status quo. We have a strong culture of collaboration, innovation, and getting things done.

🛠️ Responsibilities

Build and maintain self-service, easy-to-use data models and tables in our BI tool (e.g., Metabase, Looker, etc.) so non-technical teams can explore data independently.
Design and develop robust, documented ETL/ELT pipelines to ingest and transform data from:
- Product usage and event data
- Marketing systems (e.g., HubSpot, paid media, web analytics)
- Invoicing and billing platforms (e.g., Stripe)
- Revenue and subscription management systems
Own and evolve the semantic layer: define clear metrics and business definitions (e.g., MRR, churn, LTV) that teams trust.
Partner closely with stakeholders to understand reporting needs—especially around product engagement, customer retention, and financial metrics—and translate them into sustainable data models.
Improve data quality, accuracy, and freshness, including building monitoring and alerting for pipeline issues.
Automate recurring dashboards and reports, eliminating manual exports and spreadsheets.
Contribute to data governance: documentation, versioning, and access controls.
Advocate for data literacy by coaching teams on how to use BI tools effectively.

✅ Requirements

4+ years as a Data Engineer, Analytics Engineer, or similar role.
Strong experience with SQL and designing data models for analytics, financial metrics, and SaaS KPIs.
Experience with backend programming languages (Python, Ruby, etc.)
Proficiency with ETL/ELT tools and orchestration frameworks (e.g., dbt, Airflow, Fivetran, Stitch, etc.).
Hands-on experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
Experience integrating data from SaaS tools, product event pipelines, and billing/invoicing systems.
Commitment to building clean, well-documented, and user-friendly data sets.
Excellent communication and collaboration skills—you’ll work closely with non-technical teams including Finance, RevOps, and Marketing.
Ability to balance quick wins with building scalable, long-term data architecture.

🌱 Nice to Have

Experience in a B2B SaaS or subscription business, especially working with ARR/MRR, churn, and retention data.
Familiarity with marketing analytics and attribution models.
Background in product analytics (e.g., tracking feature adoption and engagement).
Knowledge of data testing frameworks and CI/CD for analytics (e.g., dbt tests, Great Expectations).
Interest in mentoring and defining data engineering best practices as the team grows.
Experience implementing data governance, data catalogs, or metrics layers (e.g., LookML, dbt metrics).

What to Expect

The interview process at EasyLlama takes about 3 weeks and may include cross-functional stakeholders of the role. Here's what the interview process looks like:

Recruiter Screen
Hiring Manager Interview
Team Panel
Cross Functional Team Panel (3, 30 min interviews)

How We'll Take Care of You

$146,625 to $185,000
Flexible, fully remote environment
4 Weeks PTO - Recharging is essential. We respect your time off and encourage it.
Competitive employer-sponsored health insurances
401(k) + company matching
Professional development reimbursements
Monthly remote work stipend

The EasyLlama herd is fully remote, with employees distributed across the US. We are currently hiring in the following approved* states:

AR - Arkansas
CA - California
CO - Colorado
FL - Florida
IL - Illinois
MA - Massachusetts
MN - Minnesota
NE - Nebraska
NJ - New Jersey
NY - New York
NC - North Carolina
OH - Ohio
PA - Pennsylvania
TN - Tennessee
TX - Texas
UT - Utah
VA - Virginia
WA - Washington
WI - Wisconsin

*EasyLlama reserves the right to change the list of approved states at anytime.

To ensure the best employee experience, we offer competitive compensation packages, comprehensive benefits, an annual wellness stipend, PTO, 401k with company matching, and monthly team events to nurture connection!

At EasyLlama, we strive to walk the walk. We are helping make workplaces all over the globe safer and more inclusive, including our own. We honor employees and candidates from all walks of life and all experiences, regardless of race, ethnicity, veteran status, disability, sexual orientation, gender identity or religion.

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What can you expect as a FedEx team member?

Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are. We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity.

We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities.

\" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date\"

Company:

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Chennai

Scheduled Weekly Hours:

Worker Type:

Regular

Posting Start Date

16-Jul-2025

Posting Close Date:

17-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

What you will do

Duties for this role include but not limited to: supporting the design, build, test and maintain data pipelines at big data scale. Assists with updating data from multiple data sources. Work on batch processing of collected data and match its format to the stored data, make sure that the data is ready to be processed and analyzed. Assisting with keeping the ecosystem and the pipeline optimized and efficient, troubleshooting standard performance, data related problems and provide L3 support. Implementing parsers, validators, transformers and correlators to reformat, update and enhance the data. Provides recommendations to highly complex problems. Providing guidance to those in less senior positions.

You will be a great fit if you have

Data Engineers play a pivotal role within Dataworks, focused on creating and driving engineering innovation and facilitating the delivery of key business initiatives. Acting as a “universal translator” between IT, business, software engineers and data scientists, data engineers collaborate across multi-disciplinary teams to deliver value. Data Engineers will work on those aspects of the Dataworks platform that govern the ingestion, transformation, and pipelining of data assets, both to end users within FedEx and into data products and services that may be externally facing. Day-to-day, they will be deeply involved in code reviews and large-scale deployments.

Essential Job Duties & Responsibilities

Understanding in depth both the business and technical problems Dataworks aims to solve
Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
Collaborating across teams to drive the generation of data driven operational insights that translate to high value optimized solutions.
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems

Skill/Knowledge Considered a Plus

Technical background in computer science, software engineering, database systems, distributed systems
Fluency with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties
Experience in building robust cloud-based data engineering and curation solutions to create data products useful for numerous applications
Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred. Experience with any combination of the following azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Synapse Analytics
Developing and operationalizing capabilities and solutions including under near real-time high-volume streaming conditions.
Hands-on development skills with the ability to work at the code level and help debug hard to resolve issues.
A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data processing methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
Use of agile and devops practices for project and software management including continuous integration and continuous delivery
Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, MongoDB/CosmosDB
- Java, Python data tools
- Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and utilize CI/CD pipelines
- Working knowledge and experience implementing data architecture patterns to support varying business needs
- Experience with different data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
- Use of Azure Kubernetes Services, Eventhubs, or other related technologies to implement streaming ingestions
- Experience developing and implementing alerting and monitoring frameworks
- Working knowledge of Infrastructure as Code (IaC) through Terraform to create and deploy resources
- Implementation experience across different data stores, messaging systems, and data processing engines
- Data integration through APIs and/or REST service
- PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience a plus

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

Bachelor: Computer Engineering

","hiringOrganization":{"@type":"Organization","name":"FedEx","sameAs":"https://www.fedex.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FXE-MEISA/IND/MAAKL/MAAKL/Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Data engineer","datePosted":"2025-07-16","description":"

What can you expect as a FedEx team member?

Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

\" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date\"

Company:

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Chennai

Scheduled Weekly Hours:

Worker Type:

Regular

Posting Start Date

16-Jul-2025

Posting Close Date:

17-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

Job Description

Additional Job Description:

Understanding in depth both the business and technical problems Dataworks aims to solve
Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
Collaborating across teams to drive the generation of data driven operational insights that translate to high value optimized solutions.
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems

Skill/Knowledge Considered a Plus

Technical background in computer science, software engineering, database systems, distributed systems
Fluency with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties
Experience in building robust cloud-based data engineering and curation solutions to create data products useful for numerous applications
Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred. Experience with any combination of the following azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Synapse Analytics
Developing and operationalizing capabilities and solutions including under near real-time high-volume streaming conditions.
Hands-on development skills with the ability to work at the code level and help debug hard to resolve issues.
A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data processing methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
Use of agile and devops practices for project and software management including continuous integration and continuous delivery
Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, MongoDB/CosmosDB
- Java, Python data tools
- Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and utilize CI/CD pipelines
- Working knowledge and experience implementing data architecture patterns to support varying business needs
- Experience with different data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
- Use of Azure Kubernetes Services, Eventhubs, or other related technologies to implement streaming ingestions
- Experience developing and implementing alerting and monitoring frameworks
- Working knowledge of Infrastructure as Code (IaC) through Terraform to create and deploy resources
- Implementation experience across different data stores, messaging systems, and data processing engines
- Data integration through APIs and/or REST service
- PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience a plus

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

Bachelor: Computer Engineering

","hiringOrganization":{"@type":"Organization","name":"FedEx","sameAs":"https://www.fedex.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FXE-MEISA/IND/MAAKL/MAAKL/Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Data engineer","datePosted":"2025-07-16","description":"

What can you expect as a FedEx team member?

Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

\" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date\"

Company:

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Chennai

Scheduled Weekly Hours:

Worker Type:

Regular

Posting Start Date

16-Jul-2025

Posting Close Date:

17-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

Job Description

Additional Job Description:

Understanding in depth both the business and technical problems Dataworks aims to solve
Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
Collaborating across teams to drive the generation of data driven operational insights that translate to high value optimized solutions.
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems

Skill/Knowledge Considered a Plus

Technical background in computer science, software engineering, database systems, distributed systems
Fluency with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties
Experience in building robust cloud-based data engineering and curation solutions to create data products useful for numerous applications
Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred. Experience with any combination of the following azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Synapse Analytics
Developing and operationalizing capabilities and solutions including under near real-time high-volume streaming conditions.
Hands-on development skills with the ability to work at the code level and help debug hard to resolve issues.
A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data processing methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
Use of agile and devops practices for project and software management including continuous integration and continuous delivery
Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, MongoDB/CosmosDB
- Java, Python data tools
- Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and utilize CI/CD pipelines
- Working knowledge and experience implementing data architecture patterns to support varying business needs
- Experience with different data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
- Use of Azure Kubernetes Services, Eventhubs, or other related technologies to implement streaming ingestions
- Experience developing and implementing alerting and monitoring frameworks
- Working knowledge of Infrastructure as Code (IaC) through Terraform to create and deploy resources
- Implementation experience across different data stores, messaging systems, and data processing engines
- Data integration through APIs and/or REST service
- PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience a plus

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

Bachelor: Computer Engineering

","hiringOrganization":{"@type":"Organization","name":"FedEx","sameAs":"https://www.fedex.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FXE-MEISA/IND/MAAKL/MAAKL/Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Senior Data engineer","datePosted":"2025-07-16","description":"

What can you expect as a FedEx team member?

Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

\" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date\"

Company:

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Chennai

Scheduled Weekly Hours:

Worker Type:

Regular

Posting Start Date

16-Jul-2025

Posting Close Date:

17-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

Job Description

Additional Job Description:

Understanding in depth both the business and technical problems Dataworks aims to solve
Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
Collaborating across teams to drive the generation of data driven operational insights that translate to high value optimized solutions.
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems

Skill/Knowledge Considered a Plus

Technical background in computer science, software engineering, database systems, distributed systems
Fluency with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties
Experience in building robust cloud-based data engineering and curation solutions to create data products useful for numerous applications
Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred. Experience with any combination of the following azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Synapse Analytics
Developing and operationalizing capabilities and solutions including under near real-time high-volume streaming conditions.
Hands-on development skills with the ability to work at the code level and help debug hard to resolve issues.
A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data processing methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
Use of agile and devops practices for project and software management including continuous integration and continuous delivery
Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, MongoDB/CosmosDB
- Java, Python data tools
- Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and utilize CI/CD pipelines
- Working knowledge and experience implementing data architecture patterns to support varying business needs
- Experience with different data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
- Use of Azure Kubernetes Services, Eventhubs, or other related technologies to implement streaming ingestions
- Experience developing and implementing alerting and monitoring frameworks
- Working knowledge of Infrastructure as Code (IaC) through Terraform to create and deploy resources
- Implementation experience across different data stores, messaging systems, and data processing engines
- Data integration through APIs and/or REST service
- PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience a plus

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

Bachelor: Computer Engineering

","hiringOrganization":{"@type":"Organization","name":"FedEx","sameAs":"https://www.fedex.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FXE-MEISA/IND/MAAKL/MAAKL/Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-16","description":"

Company Description

Assystem is an international company with one mission: accelerate the energy transition around the world.
\n
\nEvery day, our 7,500 switchers located in 12 countries (Europe, Middle East, Pacific Asia & Africa) connect their six thousand billion neurons to tackle the task of the century: switching to low-carbon energy.
\n
\nWe are a collective committed to the actors who are making the energy switch. Sharing our knowledge, expertise and values allows us to innovate and think differently about the energy transition.
\n
\nDrawing on more than 55 years' experience in highly regulated sectors subject to strict security and safety requirements, we provide our customers with engineering and project management services, as well as digital services and solutions to optimize the performance of complex infrastructure projects throughout their life cycle. The Group is currently ranked second in the world for nuclear engineering.
\n
\nTo ensure a viable, efficient, and reliable energy future for all.

Job Description

We’re seeking a Senior Data Engineer to lead and grow our internal R&D data team. This is a hands-on leadership role for someone who enjoys shaping technical solutions, building team capability, and engaging with stakeholders across the business.

Please note, the working pattern for this role will be hybrid, with two days onsite at the Bristol office.

You’ll work with two data engineers who are already delivering tools and insights using Budibase (for low-code workflow applications), PostgreSQL, and Power BI. These tools support business process automation and data-driven decision-making.

There is a major opportunity to modernise how we deliver and manage data as well as expanding the use of data and analytics inside the business. The right candidate will find real scope to influence direction and develop business cases for change, implement good practice, and guide the team toward scalable, robust solutions.

This role suits someone with strong technical grounding, experience in data transformation or modernisation, and the soft skills to consult, influence, and mentor.

Key Responsibilities

Lead technical delivery of data workflows, reports, and tools used to support internal business processes.
Mentor and coach junior data engineers, helping them grow their technical and consulting skills.
Collaborate with stakeholders across the business to understand needs and deliver value-driven data solutions.
Drive modernization efforts, identifying opportunities to improve scalability, maintainability, and performance.
Champion best practices in data engineering, governance, and low-code/no-code tooling.
Translate business requirements into robust data architectures and analytical workflows.
Maintain and improve integrations between Budibase applications, PostgreSQL databases, and Power BI dashboards.

What We’re Looking For

Proven experience in senior or lead data engineering roles, ideally within internal consultancy or transformation environments.
Strong experience with PostgreSQL, Power BI, and low-code platforms (Budibase or similar).
Solid programming skills, preferably in Python, especially for ETL development and support.
Proficiency with version control systems (e.g., GitHub), with an understanding of best practices for collaboration, review, and deployment.
Familiarity with REST APIs, including how to design, consume, and integrate them into data workflows.
Track record of working closely with non-technical stakeholders to deliver effective data solutions.
Experience with data transformation, process optimization, or modernizing legacy tooling.
Strong communication and influencing skills—comfortable challenging assumptions and guiding decision-making.
Passion for mentoring and developing junior talent.
A pragmatic, problem-solving mindset—able to work effectively with limited resources.

Qualifications

Experience integrating low-code platforms with modern data stacks.
Familiarity with cloud data infrastructure (e.g. Azure, AWS).
Background in business process design or improvement.

Additional Information

And what do we have to offer you?

💥 Opportunities for continuous professional development thanks to a company focused on career-long learning and training.

💥 Access to innovative projects, offering a stimulating and rewarding experience.

💥 A corporate culture based on collaboration, mutual help and support, fostering a positive and motivating working environment.

💥 A remuneration policy designed to encourage and reward individual investment and team spirit.

💥 Flexibility and work-life balance through flexible working policies and employee support programmes.

#LI-Hybrid

Due to the nature of work to be undertaken applicants will be required to meet certain residency criteria in order to attain a minimum level of UK security clearance if not already security cleared to a minimum SC level.

We are committed to equal treatment of candidates and promote, as well as foster all forms of diversity within our company. We believe that bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills, talent, and our people’s ability to dare are the only things that matter !. Bring your unique contributions and help us shape the future.

","hiringOrganization":{"@type":"Organization","name":"ASSYSTEM","sameAs":"https://www.assystem.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bristol, England, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-16","description":"

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
\n
\nBy combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
\n
\nFrom prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

We are looking for a Data Engineer to join our team and work on taking our data engineering to the next level.

As a Data Engineer, you will be responsible for designing, developing and maintaining our pipelines to ingest and process data; working alongside BI and Data analysts. You will actively participate in the development of our data platform and assist the team in creating new data pipelines, ensuring the highest quality of data delivered.

The impact you will have

Work on data extraction architectures and infrastructure for data sourcing
Find ways to merge newly discovered data with existing data
Identify possibilities to automate the processes where possible
Create and maintain optimal data pipeline architectures
Assemble complex data sets that meet the functional requirements
Work with cross-functional teams to assist with related technical issues
Ensure the safety and integrity of our data across geographic boundaries
Actively participate in planning, stand-ups, and retrospective meetings

Qualifications

What we look for

At least 3 years of experience working in data engineering domain
Good knowledge of data ETL and processing techniques
Proficient in working with relational databases (such as PostgreSQL, MySQL etc) and understanding of relational storage concepts, with the ability to write and optimize SQL queries.
Experience with Python and Apache Airflow
Experience working with some services in data ecosystem of Amazon Web Service
Organised and structured working process
Able to agree to and deliver to realistic deadlines
Excellent interpersonal and relational skills
Strong agile mindset, able to iterate fast and give early feedback
Desire and eagerness to contribute to the success of the company and grow along with it
Excellent communication skills in verbal and written English

Bonus points for

Experience building with Docker and orchestrating with Kubernetes
Experience working with SSAS and SSIS with SQL Server
Experience working with streaming technologies

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kraków, Lesser Poland Voivodeship, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-15","description":"

De energietransitie is onmogelijk zonder jou als Senior Data Engineer

Als Senior Data Engineer zorg jij voor een toekomstbestendige datastructuur die helpt bij het nemen van strategische beslissingen. Je werkt in het scrumteam business platform data, onderdeel van Business Platforms. Hier voorzien we interne en externe consumenten van gegevensproducten conform DataMesh principe. Het energienet van de toekomst maken we voor iedereen, mét iedereen. En als Senior Data Engineer werk jij hieraan mee. Zo ben jij bezig met het:

· ontwikkelen en onderhouden van datakoppelingen tussen Snowflake en bronsystemen zoals SAP met Matillion.

· bouwen van dataproducten volgens FAIR- en datamesh-principes en publiceren in Atlan.

· verbeteren van dataoplossingen in nauwe samenwerking met de data eigenaar en de data consumenten.

· bijdragen aan datakwaliteit en het optimaliseren van data delen.

· ontwikkelen volgens het BRO-principe: you build it, you run it, you own it.

Jij maakt het net completer bij Alliander

Wist je dat we bij Alliander uit verschillende bedrijven bestaan? Met een grote club vakmensen ontwikkelen en beheren we het energienet voor miljoenen inwoners en ondernemers van Nederland. Dit doen we samen en met aandacht voor onze klant. En dankzij onze talenten hebben wij het volste vertrouwen in de energietoekomst van Nederland. Samen met jou maken wij de energietransitie mogelijk.

En jij gaat dat doen bij ons bedrijfsonderdeel Alliander. Je werkt in het team Business Platform data team. Hier werk je nauw samen met data engineers en businessanalisten. De cultuur is leergierig, resultaatgericht en collegiaal. Jullie kijken vooruit, nemen verantwoordelijkheid en zoeken naar slimme verbeteringen. Je werkt hybride: thuis én op onze kantoren in Arnhem.

Jij maakt het net energieker

Meedenken over een slimme en veilige digitale oplossing. Dat doe je vanuit je eigen kracht en talent. En dat doe je bij ons. Draag jij daaraan bij met jouw kritische kijk op zaken? En vul je dit daarnaast aan met:

· minimaal 8 jaar ervaring als data engineer met diepgaande kennis van SQL.

· ruime ervaring met Snowflake en ETL-processen.

· kennis van dimensioneel modelleren volgens het Kimball-model.

· ervaring met ETL tools bij voorkeur Matillion.

· ervaring met het ontwikkelen van oplossingen op basis van ‘security by design’.

Voor jou net beter geregeld

Daarvoor krijg jij op basis van een 40-urige werkweek:

· een salaris van € 5.103,98 tot € 7.291,40 bruto per maand (schaal 10).

· jaarlijks een individueel keuze budget (IKB) van 18% (fulltime) of 12,8% (parttime) van je bruto jaarsalaris. Dit is inclusief 8% vakantietoeslag.

· 24,5 vakantiedagen per jaar. Je kunt daarnaast feestdagen ruilen voor feestdagen uit een andere cultuur of religie.

· een eindejaarsuitkering in december van 6% van je jaarsalaris.

· een DI-budget van € 500,- per jaar voor jouw duurzame inzetbaarheid.

Natuurlijk hebben we nog veel meer! Lees meer over Alliander en al jouw arbeidsvoorwaarden.

Voor jou net wat meer informatie

Samen maken we het net beter. Voor iedereen, met iedereen. En daar hoor jij bij! Solliciteer op deze vacature. Binnen 5 werkdagen krijg je een reactie van ons.

Een assessment of screening kan onderdeel uitmaken van jouw sollicitatieprocedure. In onze screeningsvoorwaarden vind je meer informatie. Heb je nog vragen over de selectieprocedure of screening? Dan helpt Patrick Nieuwenhuijzen, Corporate Recruiter IT, jou graag verder via patrick.nieuwenhuijzen@alliander.com.

Recruiter

Patrick Nieuwenhuijzen

Telefoonnummer:

+31 (6) 24622647, +31 (6) 27225619","hiringOrganization":{"@type":"Organization","name":"Alliander","sameAs":"https://www.werkenbij.alliander.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"ARNHEM, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-15","description":"

Who We Are – MassMutual India

Since 1851, MassMutual’s commitment has always been to help people protect their families, support their communities, and help one another. Therefore, we want to inspire people to Live Mutual. We at MassMutual value diversity and inclusion. We’re people helping people

A career with us means you will work alongside exceptional people and be empowered to reach your professional and personal goals. Our employees are the foundation of what makes MassMutual a strong, stable, and ethical business. We seek and value unique and varied perspectives and experiences because we believe we are stronger when all voices are heard. We invite you to bring your bright, innovative ideas to MassMutual as we continue to help millions of Americans rely on each other.

Together, we’re stronger.

Job Description

Our ideal Mastery Data Engineer is a collaborative leader skilled in data analytics, data modeling, and database design. You’re also committed to data integrity, are highly analytical, and can work on multiple projects at once. You’ll use your skills to develop, monitor, and manage data systems across our platform. You will work on a variety of projects supporting the Corporate Finance, Investment Management or Enterprise Risk Management organizations.

Why Join Us?

We’ve been around since 1851. During our history, we’ve learned a few things about making sure our customers our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products, and services. To accomplish this, we celebrate an inclusive, vibrant, and diverse culture that encourages growth, openness, and opportunities for everyone. A career with MassMutual, Great Place to Work® certified and India's Best Workplaces in BFSI 2023 - Top 50 organization means you will be part of a strong, stable, and ethical business with industry leading pay and benefits. And your voice will always be heard.

Does this sound like a great fit? Apply today!

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Job Description

At Aberdeen, our ambition is to be the UK’s leading Wealth & Investments group.

Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industry’s best talent.

Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients, customers, colleagues, shareholders and society.

We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent.

Aberdeen comprises three businesses, interactive investor (ii), Investments and Adviser, each of which focuses on meeting and adapting to our clients’ evolving needs:

interactive investor, the UK’s second largest direct-to-consumer investment platform, enables individuals in the UK to plan, save and invest in the way that works for them.
Our Adviser business provides financial planning solutions and technology for UK financial advisers, enabling them to create value for their customers.
Our Investments business is a specialist asset manager that focuses on areas where we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes.

About the Role:

We are looking for a talented Senior Data Engineer to help develop a new centralised “single view” data model. This will be used to deliver new and improved insight and reporting to our key stakeholders. This opportunity is perfect for someone looking to fast-track their personal development whilst putting their own stamp on our approach to data and analytics.

This role will play a critical part in driving data-driven decision-making and innovation within the company. It requires someone who has strong technical skills whilst being entrepreneurial and proactive, with the ability to develop key stakeholder relationships quickly. You will also need to be a team player and collaborator, working across multi-discipline teams and be confident working with other technical specialists and analysts.

Your primary responsibility will be to develop a multi sourced data model that can be used to create and delivery specific reporting data models that will be used for dashboards, reporting, and insights. The analytics this supports will drive tangible value and change for our clients and our business. You will need to blend a mix of back-end and front-end data engineering to produce well governed and scalable data models.

Key Responsibilities:

Deliver high quality and high impact data models.
Analysing raw data and developing and maintaining datasets.
Improving data quality and efficiency and building pipelines.
Ensuring compliance with data governance and security policies.
Work closely with all stakeholders, ensuring they are managed effectively, and that communication is timely and informative.
Identify new ways of using our data sources and help shape our data strategy.
Mentoring junior team members and the wider business community.

Candidate requirements:

Technical Skills:
- Expert in the Microsoft Azure Stack.
- Experience using data tools such as SQL, Excel, or Python.
- Expertise in delivering data models within data visualisation tools, ideally with Power BI exposure.
Business Skills:
- Strong communication and organisation skills.
- Strong analytical thinking and problem-solving skills.
- Ability to work in a fast-paced environment, prioritise tasks, and meet deadlines.
- Strong attention to detail.
- A passion for continuous learning and self-improvement.
Experience:
- 10+ years proven experience in data and analysis with a track record of value-add deliveries.
- Previous experience in financial services or with market data is desirable.

We are a Disability Confident Committed employer and are happy to provide adjustments to the recruitment process to support candidates.

Our benefits

There's more to working life than coming home with a good salary. We have an environment where you can learn, get involved and be supported.

When you join us, your reward will be one of the best around. This includes 40 days’ annual leave, a 16% employer pension contribution, a discretionary performance-based bonus (where applicable), private healthcare and a range of flexible benefits – including gym discounts, season ticket loans and access to an employee discount portal. You can read more about our benefits here.

Our business

Enabling our clients to be better investors drives everything we do. Our business is structured around three distinct areas – our vectors of growth – focused on our clients’ changing needs. You can find out more about what we do here.

An inclusive way of working

Whatever way you like to work, if you have the talent and commitment to join our team, we’d like to hear from you.

At Aberdeen we’ve adopted a ‘blended working’ approach. This approach combines the benefits of face-to-face collaboration, coaching and connecting in our offices with the flexibility of working from home. It enables colleagues to find a balance that works for their roles, their teams, our clients and our business.

An inclusive culture, where diverse perspectives drive our actions, is at the core of who we are and what we do. If you need assistance with your application, or a reasonable adjustment to your interview arrangements – for example, because you are neurodivergent, or have a physical, sensory, cognitive, mental, visible or invisible disability – please let us know and we’ll be happy to help.

We’re committed to providing an inclusive workplace where all forms of difference are valued and which is free from any form of unfair or unlawful treatment. We define diversity in its broadest sense – this includes but is not limited to our diversity of educational and professional backgrounds, experience, cognitive and neurodiversity, age, gender, gender identity, sexual orientation, disability, religion or belief and ethnicity and geographical provenance. We support a culture that values meritocracy, fairness and transparency and welcomes enquiries from everyone.

If you need assistance or an adjustment due to a disability please let us know as part of your application and we will assist.

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The opportunity
We are looking for an experienced Staff Data Engineer with a strong background in machine learning and a proven track record in the AdTech sector. In this role, you will be a key contributor to our data engineering efforts. You will join a dedicated team of machine learning engineers to specifically focus on enhancing and scaling our data pipelines for cutting-edge Deep Learning models. This work is crucial for developing and optimizing solutions that drive our AdTech platform and enable the next generation of Machine Learning models for our Ad Business.

What you'll be doing

Design, implement, and continuously improve robust and scalable data pipelines for machine learning, with a particular emphasis on supporting advanced Deep Learning models.
Collaborate closely with machine learning engineers, data scientists, and other cross-functional teams to understand business requirements and translate them into effective data solutions, models, and algorithms.
Manage the full lifecycle of large-scale data sets, including collection, storage, processing, and optimization for machine learning applications.
Develop and maintain a reliable data infrastructure capable of supporting both real-time and batch data processing.
Stay current with industry trends and advancements in AdTech, data engineering, and machine learning, implementing best practices to elevate our capabilities.
Mentor junior data engineers and contribute to a culture of technical excellence, innovation, and shared learning.
Ensure all data engineering practices and machine learning initiatives adhere to data privacy and compliance standards.

What we're looking for

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
Minimum of 5 years of experience in data engineering, with a significant focus on building systems and pipelines for machine learning models, preferably in the AdTech industry.
Proficient in programming languages such as Python, Scala, or Java.
Solid experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS).
Strong knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch), and practical experience with the deployment of ML models at scale.
Demonstrated ability to own and deliver complex data engineering projects and to collaborate effectively within cross-functional teams.
Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

Additional information

Relocation support is not available for this position.
Work visa/immigration sponsorship is not available for this position

Life at Unity
Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.

As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com._

#SEN

*Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.

Gross base salary$153,000—$191,300 CAD","hiringOrganization":{"@type":"Organization","name":"Unity","sameAs":"https://unity.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-16","description":"

About Calo

Role Overview

Main Responsibilities

Design, build, and improve the infrastructure for ingesting, storing, and transforming data
Design, build, and enhance dimensional models for Data Warehouse and BI solutions
Work with other departments and support them with their data initiatives
Document new and existing models, solutions, and implementations

Ideal Candidate

Qualifications

5+ years of hands-on professional experience in data engineering-related roles
Experience in building and maintaining data platforms from scratch
Experience with AWS (Redshift, Glue, Lambda, S3, Kinesis, Athena)
Experience with BI solutions
Advanced skills with Python and SQL
AI experience is a plus

Personality

Strong communicator
Pleasant personality and able to lead with empathy and patience

","hiringOrganization":{"@type":"Organization","name":"Calo","sameAs":"https://calo.app"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bahrain - Remote","addressCountry":"Bahrain","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-15","description":"

Join us as a Senior Data Engineer to support complex reporting services for our actuarial colleagues!

What you will do

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in SQL, ETL processes, Databricks, Azure DevOps, Data Vault, Business Vault, Azure Data Factory (ADF), data transformation, data modeling, data analysis, and developing data marts.

What are the tasks you will perform

Design, develop, and maintain robust data pipelines and ETL processes.
Utilize Databricks and Azure Data Factory (ADF) for data integration and transformation.
Implement and manage Data Vault and Business Vault architecture.
Develop and optimize SQL queries for data extraction and analysis.
Perform data modeling and create data marts to support business intelligence and analytics.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Ensure data quality, integrity, and security across all data processes.
Provide technical guidance and mentorship to junior data engineers.

What we expect from you

A completed Master´s degree.
Strong communication skills in English, with ability to engage both technical and non-technical stakeholders.
Proficiency in SQL and ETL processes.
Hands-on experience with Databricks and Azure DevOps.
Knowledge of Data Vault and Business Vault methodologies.
Expertise in Azure Data Factory (ADF) and data transformation techniques.
Solid understanding of data modeling and data analysis.
Proven experience in developing data marts and reports.

What you get with NN

We allow you to work where you feel the most comfortable, whether it is in the office or from home, and we contribute to your home office expenses every month.
We understand the importance of having a work-life balance, which is why we offer 5 weeks of vacation, 5 well-being days, additional paid time off for personal and family events, and 1 volunteering day to support our community.
In addition to your base salary you will have a lump-sum meal allowance, up to CZK 20,000 in the Cafeteria per year, the possibility of arranging a MultiSport card, the possibility of contributing to supplementary pension insurance / supplementary pension savings, and a discount on life insurance.
We believe that your professional and personal growth is crucial, which is why we provide you with tailor-made professional training.
Your friends and acquaintances are a valuable source of talent for us, which is why we offer up to 60,000 CZK as a reward for recommending a suitable candidate.
A business laptop and an iPhone with a paid O2 tariff and a data package are basic tools for your work.

What is the hiring process with us like

After reviewing your application, including your CV in English, you will receive a short phone call from Petra (Talent Acquisition Partner) to discuss basic details about your previous work experience and the open position. If everything goes well, we will meet twice in total. The first round will be an introductory meeting with Shobha (BI Squad Team Lead). In the second round, you will meet one of the stakeholders and/or your potential future colleague from the team (Engineer).

","hiringOrganization":{"@type":"Organization","name":"NN Group","sameAs":"https://www.nn-group.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Digital Hub Prague, Czechia","addressCountry":"Czechia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-15","description":"

If you are a curious, data-driven professional who enjoys turning numbers into narratives, we would love to hear from you. Apply for Senior Data Engineer vacancy now and help us drive smarter financial decisions.

What is the mission of the position

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with expertise in SQL, ETL processes, Databricks, Azure DevOps, Data Vault, Business Vault, Azure Data Factory (ADF), data transformation, data modeling, data analysis, Data quality checks and developing data marts.
We’re a tight-knit crew of sharp minds in Prague & Netherlands, each with a knack for solving the unsolvable and simplifying the complex. From number crunchers and data whisperers to process optimizers and strategy ninjas, we bring a mix of skills, curiosity, and caffeine-fueled brilliance to every challenge. Together, we’re on a mission to make finance smarter, smoother, and a whole lot more human.

What are the tasks you will perform

Design, develop, and maintain robust data pipelines and ETL processes.
Utilize Databricks and Azure Data Factory (ADF) for data integration and transformation.
Implement Data Quality (DQ) Framework, develop DQ checks.
Implement and manage Data Vault and Business Vault architecture.
Develop and optimize SQL queries for data extraction and analysis.
Perform data modeling and create data marts to support business intelligence and analytics.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Ensure data quality, integrity, and security across all data processes.
Provide technical guidance and mentorship to junior data engineers.

What we expect from you

A completed Master´s degree.
Strong communication skills in English, with ability to engage both technical and non-technical stakeholders.
Proficiency in SQL and ETL processes, Python, Databricks, or other DWH.
Hands-on experience with Databricks, Azure DevOps, and CI/CD process.
Knowledge of Data Vault and Business Vault methodologies.
Expertise in Azure Data Factory and data transformation techniques.
Solid understanding of data modeling and data analysis.
Proven experience in developing data marts and reports.

What you get with NN

We allow you to work where you feel the most comfortable, whether it is in the office or from home, and we contribute to your home office expenses every month.
We understand the importance of having a work-life balance, which is why we offer 5 weeks of vacation, 5 well-being days, additional paid time off for personal and family events, and 1 volunteering day to support our community.
In addition to your base salary you will have a lump-sum meal allowance, up to CZK 20,000 in the Cafeteria per year, the possibility of arranging a MultiSport card, the possibility of contributing to supplementary pension insurance / supplementary pension savings, and a discount on life insurance.
We believe that your professional and personal growth is crucial, which is why we provide you with tailor-made professional training.
Your friends and acquaintances are a valuable source of talent for us, which is why we offer up to 60,000 CZK as a reward for recommending a suitable candidate.
A business laptop and an iPhone with a paid O2 tariff and a data package are basic tools for your work.

What is the hiring process with us like
After reviewing your application, including your CV in English, you will receive a short phone call from Petra (Talent Acquisition Partner) to discuss basic details about your previous work experience and the open position. If everything goes well, we will meet twice in total. The first round will be an introductory meeting with Shobha (BI Squad Team Lead). In the second round, you will meet one of the stakeholders and/or your potential future colleague from the team (Engineer).

","hiringOrganization":{"@type":"Organization","name":"NN Group","sameAs":"https://www.nn-group.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Digital Hub Prague, Czechia","addressCountry":"Czechia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-15","description":"

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Experian is seeking a highly skilled and motivated Senior Data Engineer to join our dynamic team. In this role, you will be responsible for developing robust data software applications, scalable data platforms, and innovative data products. You will collaborate closely with cross-functional teams—including application engineers, data scientists, and product stakeholders—to design, build, and implement high-impact solutions that drive business value.

Key Responsibilities:

Lead the design, development, testing, and deployment of data solutions and pipelines.
Collaborate with stakeholders to ensure technology solutions meet business requirements and optimize resource costs.
Contribute to engineering standards, data modeling, and operational readiness.
Provide technical leadership and mentorship to peers and junior engineers.
Communicate project status and technical concepts clearly to both technical and non-technical audiences based in the U.S. and locally.
Ensure effective change management and solution adoption through documentation, training, and knowledge transfer.
Manage multiple priorities in a fast-paced, agile environment.
Continuously improve processes, tools, and methodologies based on industry best practices.

Qualifications

•5 to 7 years of experience in data engineering or related roles.

• Strong expertise in cloud development, particularly with AWS services such as Aurora PostgreSQL RDS, Redshift, S3, EC2, Lambda, SQS, and SNS.

• Hands-on experience with AWS Glue, Amazon Data Firehose, EMR, and Athena in high-volume environments.

• Expert in SQL and proficient in PySpark and Python.

• Deep understanding of data platform paradigms and software/data architecture.

• Understanding of data modeling principles and data warehousing techniques is essential.

• Proven ability to troubleshoot and resolve complex performance issues utilizing tools such as DataDog, CloudWatch, Splunk, dBeaver, and DataGrip

• Strong problem-solving, communication, and time management skills.

• Experience working in agile, multi-project environments.

Preferred Skills:

• Working knowledge of Apache Iceberg, AWS Lake Formation and AWS DataZone.

• Experience with CI/CD pipelines and DevOps practices.

• Familiarity with data governance frameworks, security, and compliance standards.

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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About SignalFire

SignalFire is the first VC firm built like a technology company to better serve the needs of founders as they build and scale their startups. With approximately $3B in assets under management, SignalFire invests in applied AI companies from pre-seed to Series B in key sectors, including healthcare, cybersecurity, infrastructure, consumer, and other enterprise verticals.

The firm’s Beacon AI platform tracks over 650M employees and 80M organizations, giving the firm an unmatched data advantage in identifying and supporting world-class startups. Its sector-focused investors and a dedicated team of seasoned operators drive SignalFire at startup speed. They provide support across a company’s full lifecycle through data and resources tailored by growth stage, plus a diverse ecosystem of partners and customers. Notable investments include Frame.io, Grammarly, Grow Therapy, EvenUp, and Stampli.

Learn more at www.signalfire.com

Role Description

Signalfire is looking for an exceptional engineer who is passionate about building robust data infrastructure that powers complex analytical workflows, machine learning processes, and data-intensive web application. As our data engineer, you will work closely with our investment, portfolio, talent team, and the rest of our engineering organization to build best-in-class tools that help us explore potential investment areas and support our portfolio companies.

What you’ll be doing:

Building industry-standard backend architecture and data pipelines for our AI platform, Beacon which helps our firm invest in the best startups in the market
Procuring and evaluating potential new data sources in service of identifying, diligencing, and supporting startups
Build and maintain scalable, maintainable data transformation pipelines using Python, Spark, dbt, apache/airflow to power the whole company's data science and analytics needs
Stand up new low-latency data processing infrastructure to provide clean data to machine learning models
Improve workflow orchestration and automation processes for existing systems

Your background:

2 to 6 years of experience working as a data engineer
- A solid conceptual grasp (and preferably hands-on experience with) orchestration frameworks like Airflow, Dagster, Prefect, or similar
- Experience with ETL, data processing, pipelining, and sanitizing
- Experience working on complex data pipelines using SQL, Redshift, Python, dbt
- Experience building backend infrastructure and architecture required to power frontend features
- Understanding of data modeling strategies for both transactional and data warehousing workloads
Exceptional problem solving, analysis, decomposition, and communication skills applied within an agile development environment
BS/MS in statistics, computer science, economics, or a similarly quantitative field
Takes pride working on large projects from scratch to completion
San Francisco Bay Area or New York based

Why SignalFire?

In addition to working directly with our team at the forefront of a hybrid human + technology investment approach, you’ll also work closely with founders to help them solve major problems.

Our culture is one that breeds creativity and impact and puts you in control of your own destiny.

End-to-end ownership: Engineers at SignalFire own the full stack—from data acquisition and model development to infrastructure and product delivery. This extends beyond code; you'll work directly with the investment team, gaining insight into how your work shapes strategic decisions.
Empowered decision-making: We’ve cut the bureaucracy of big companies but kept their resources. Have a strong idea? Pitch it. You’ll get budget and ownership. We move like a startup but execute with the discipline of a mature company.
Versatile technical expertise: We value engineers who blend startup agility with enterprise depth. You'll wear many hats—tuning infrastructure one day, refining algorithms or designing features the next—building a skillset rarely found elsewhere.
Creative autonomy: At SignalFire, creativity isn’t just valued—it’s essential. We tackle problems without clear precedents, where sharp judgment and innovation matter more than technical orthodoxy. Success means balancing analytical rigor with a bias to ship, learn, and iterate.

You can read more about life on the engineering team here: https://www.signalfire.com/blog/engineering-at-the-heart-of-venture-capital

Compensation

USD 170k-270k base salary/year based on experience + Carried Interest

Does this sound like you? If so, we'd love to hear from you!

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Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About The Role

As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

Design, build, and manage robust data pipelines and data architectures.
Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
Optimize data workflows, ensuring reliability, scalability, and performance.
Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
Ensure data security and compliance with industry standards and best practices.
Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
4+ years of professional experience as a Data Engineer or similar role.
Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
Hands-on experience with data pipeline tools, cloud services, and storage solutions.
Strong programming skills in SQL, Python, or related languages.
Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
Excellent analytical, troubleshooting, and problem-solving skills.
Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

Certifications related to Azure Data Engineering, Databricks, or Snowflake.
Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

Comprehensive Health & Wellness Benefits Package
Retirement Planning
Parental Leave Program
Annual tech & travel allowance
Flexible Working Hours
Work from Home Flexibility
Service Recognition Programs
Socials, Outings & Retreats
Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

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As a Data Engineer at GoodHabitz, you’ll be part of an exciting journey as we continue our migration to AWS, enhancing and modernizing our data infrastructure to support a rapidly growing business. In our scale-up environment, adaptability and problem-solving are key. This role is instrumental in designing, building, and optimizing scalable, cloud-native data architectures that meet evolving business and analytical needs.

You’ll collaborate with cross-functional teams to implement robust, efficient data pipelines and help shape a high-performing data platform centered around Databricks on AWS, Unity Catalog, Delta Live Tables, and other related services. If you're eager to make a real impact and contribute to a forward-thinking data engineering culture, we’d love to hear from you.

Key Responsibilities:

· Data Architecture & Design: Design scalable, high-performance data architectures leveraging AWS native services, Databricks (Unity Catalog, Delta Live Tables, Delta Lake), and modern best practices.

· Pipeline Development: Build and maintain efficient, production-grade ETL/ELT pipelines using Databricks (PySpark, SQL), with a strong focus on data quality, lineage, and maintainability.

· Cloud Infrastructure: Combine open-source technologies with AWS and Databricks services to create optimized and automated data workflows.

· Data Governance & Quality: Implement best practices for data governance, including lineage tracking, quality checks, and access control using Unity Catalog and related tools.

· Automation & CI/CD: Implement deployment automation and pipeline monitoring using Terraform for infrastructure-as-code and GitLab for version control and CI/CD workflows.

· Performance Optimization: Optimize data processing performance using techniques such as data partitioning, indexing, caching, and efficient storage formats.

· Collaboration & Mentoring: Work closely with data analysts, software engineers, and other stakeholders to gather requirements and deliver solutions. Mentor junior team members and promote engineering best practices.

Requirements

5+ years of experience in data engineering, including strong exposure to cloud-native architectures and modern data platforms.
Deep understanding of ETL processes, data modeling, data warehousing, and Medallion architecture.
Hands-on experience with Databricks on AWS, including Unity Catalog, Delta Live Tables, and related tools.
Proficiency in Python, PySpark, and SQL for large-scale data processing and transformation.
Experience with infrastructure-as-code tools, especially Terraform (bonus if you’ve worked with AWS-native provisioning and configuration tools).
Experience working with GitLab for version control, repository management, and CI/CD workflows.
Strong knowledge of SQL performance tuning, query optimization, and handling large datasets efficiently.
Comfortable working with orchestration tools such as Apache Airflow, AWS Step Functions, or similar.

Nice to Have:

Experience with containerization and serverless frameworks (e.g., Docker, Kubernetes, AWS Lambda).
Familiarity with monitoring/observability tools such as Prometheus, Grafana, AWS CloudWatch, or Databricks-native logging/monitoring.
Exposure to data security best practices and compliance in cloud environments.

Benefits

Here's a glimpse of what's waiting for you:  

A competitive salary package that rewards your hard work. 
25 paid vacation days. And if that's not enough, you can purchase up to 10 more. 
A world of growth and development opportunities to enhance your skills. You'll have unlimited access to our treasure trove of GoodHabitz resources and MyAcademy . 
Access to mental coaching through our partner, OpenUp, to keep your mind in top shape. 
An annual do-good-day, fully paid, so you can contribute to a cause you're passionate about.  
Travel and expense reimbursement because we've got your journey covered.  
Pension and disability insurance, securing your financial well-being in the long run.  
A hybrid way of working .  
Working in a company that welcomes artificial intelligence and uses it to improve internal processes and push AI-powered features quickly . 
A company laptop.

","hiringOrganization":{"@type":"Organization","name":"GoodHabitz","sameAs":"https://careers.goodhabitz.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eindhoven, North Brabant, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-08-01","description":"About MoneyboxMoneybox is the award-winning app that helps you turn your money into something greater. We’ve brought saving, investing, home-buying, and retirement services all together into one simple app, so it’s easier than ever to achieve your goals and build wealth, whatever your starting point.
Job BriefMoneybox is growing rapidly, and our technical and data teams are no exception. We have more users, more accounts, more money invested, more features, more systems, more code, more data and more teams than ever before. We’re looking for a Senior Data Engineer who can maintain and improve our existing data infrastructure, while continuing to build out our abilities, as well as contribute expertise across the board. In this unique role, you’ll be the interface between the backend and insight teams, collating, ingesting and organising data to drive action and results.\n

What You’ll Do

As a Senior Data Engineer at Moneybox, you will play a critical role in building and maintaining the data infrastructure that powers our business. You'll be responsible for designing and implementing robust data pipelines and integrations, ensuring the seamless and accurate flow of data between our systems. A core focus of this role is to guarantee data integrity and reliability, especially as we scale and integrate new tools. This role will be responsible for but not limited to:

Own, maintain, and improve our data processing and analytical platforms to ensure resiliency.
Act as a best practice resource for optimization and performance for the Insight and Backend teams.
Build and maintain new integrations to ingest and integrate new sources of data.
Work with Backend and Insight teams to build and maintain a reliable, meaningful, and accurate core data catalogue which stays up-to-date as our products grow and change.
Work with tech teams and Compliance to ensure that analytical data and supporting platforms are secure, appropriately restricted, and comply with policy.
Stay up-to-date with industry trends and help insight and tech teams understand where new technology could pragmatically deliver value .
Manage and monitor the cost, efficiency, and speed of data processing.

Our Data Tech Stack

Azure Cloud (SQL Server, Databricks, Cosmos DB, Blob Storage)
ETL/ELT (Python, Spark, SQL)
Messaging (Service Bus, Event Hub)
DevOps (Azure DevOps, Github Actions, Terraform)

Who you are

A driven, ambitious individual who’s looking to build their career at an exciting fast-growing company.
An independent worker who is able to proactively gather and reconcile priorities and requirements from multiple stakeholders.
Someone with a curious mindset who is motivated by improving processes and organising information in practical ways.
Naturally personable, great communicator who has a passion for their work and the people they work with.
Excited about being part of a fast-growing company that’s trying to make a positive mark on the world.

Essential skills

Designing, building and maintaining robust and scalable data pipelines
Proficiency in ELT and ETL processes and tools
Ability to write efficient code for data extraction, transformation, and loading (eg. Python, Spark and SQL)
Proficiency with cloud platforms (particularly Azure Databricks and SQL Server)
Ability to work independently
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences

Desirable skills

NoSQL databases (eg. Cosmos DB, DynamoDB, MongoDB)
Message queues and event streaming platforms (e.g. Service Bus, Event Hub)
Infrastructure-as-code (eg. Terraform)
Knowledge of API design principles (REST APIs), authentication, and security

Our Commitment to DE&IAt Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. We are open-minded and always willing to go the extra mile to ensure all applicants can present their full self and potential
Working Policy:We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK.
Visa Sponsorship:At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications.
Please read before you apply!Please note if offered a position, the offer is conditional and subject to the receipt of satisfactory pre-employment checks which we will conduct such as criminal record and adverse credit history checks. As a regulated financial business, an adverse financial history could impact your suitability for the role. If you are aware of anything that could affect your suitability for the role, please let us know in advance. By sending us your application you acknowledge and agree to Moneybox using your personal data as described below.
We collect applicants’ personal data to manage our recruitment related activities. Consequently, we may use your personal data to evaluate your application, to select and shortlist applicants, to set up and conduct interviews and tests, to evaluate and assess the results, and as is otherwise needed in the recruitment process generally.We do not share your personal data with unauthorised third parties. However, we may, if necessary, share your personal data to carefully selected third parties acting on our behalf. This may include transfers to servers and databases outside the country where you provided us with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America.If you are unsuccessful in your application, we may keep your details on file so that we can tell you about other suitable vacancies which may be of interest to you when they arise in the future. If you would rather we did not keep your details on file, you can contact us at email: DPO@moneyboxapp.com
#LI-CS1","hiringOrganization":{"@type":"Organization","name":"Moneybox","sameAs":"https://www.moneyboxapp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-08-04","description":"

About the Role:

Grade Level (for internal use):

10The Team:

Automotive Mastermind provides a proprietary automated sales and marketing SaaS platform for dealerships based in the US. We empower dealers to close more deals by predicting future buyers and consistently marketing to them. In short, we help automotive dealerships generate success in their loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing and dedicated consultative services.

Responsibilities and Impact:

Build and support data ingestion and processing pipelines, ensuring efficient extraction, loading, and transformation of big data from diverse sources.
Assemble large, complex data sets that meet both functional and non-functional business requirements, collaborating closely with product teams.
Develop data warehouses, data marts, and aggregations that provide actionable insights into product efficacy, marketing strategies, and customer behavior.
Create real-time monitoring dashboards and alerting mechanisms to enhance data processing reliability and performance.
Document data assets, metrics, and KPIs to ensure transparency and knowledge sharing within the team.
Contribute to the continuous improvement of our cloud-native environment and data frameworks, enhancing scalability and efficiency.

What We’re Looking For:

Basic Required Qualifications:

Building enterprise-scale software using Python, Containerization technology , etc.
Building ‘big data’ data pipelines with distributed frameworks like Apache
Large-scale data analytics tools, Dataflow, etc. along with workflow automation & scheduling frameworks like Apache Airflow
Building DataMarts in OLAPs, assembling large and complex data sets that meet functional / non-functional business requirements, Data modeling & cataloging
SQL & distributed NO-SQL datastores (DBA level) e.g. Postgres, MongoDB, BigQuery, Cassandra etc.
Business Intelligence (BI) tools and frameworks, BI reporting
Agile software development, working in multi-functional multi-location teams.

About automotiveMastermind:

Who we are:

Founded in 2012, automotiveMastermind is a leading provider of predictive analytics and marketing automation solutions for the automotive industry and believes that technology can transform data, revealing key customer insights to accurately predict automotive sales. Through its proprietary automated sales and marketing platform, Mastermind, the company empowers dealers to close more deals by predicting future buyers and consistently marketing to them. automotiveMastermind is headquartered in New York City. For more information, visit automotivemastermind.com.

At automotiveMastermind, we thrive on high energy at high speed. We’re an organization in hyper-growth mode and have a fast-paced culture to match. Our highly engaged teams feel passionately about both our product and our people. This passion is what continues to motivate and challenge our teams to be best-in-class. Our cultural values of “Drive” and “Help” have been at the core of what we do, and how we have built our culture through the years. This cultural framework inspires a passion for success while collaborating to win.

What we do:

Through our proprietary automated sales and marketing platform, Mastermind, we empower dealers to close more deals by predicting future buyers and consistently marketing to them. In short, we help automotive dealerships generate success in their loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing, and dedicated consultative services.

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include:

Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

-----------------------------------------------------------

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. 

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

-----------------------------------------------------------

20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)","hiringOrganization":{"@type":"Organization","name":"S&P Global","sameAs":"https://www.spglobal.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"PL - GDANSK UL MARYNARKI POLSKIEJ 163, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-08-04","description":"

About the Role:

Databricks and Python Developer with strong background in AWS. This position is responsible for Development and Technical Support with a high degree of customer service, technical expertise and timeliness. The primary purpose of the position is to develop and support Bank data solutions.
Experience in Machine Learning/AI projects is a plus.
Experience in the area of Banking or Finance is desirable.

The ideal candidate will have Databricks on AWS Development and/or Support background with the ability to quickly adapt those skills to new environments. This position will work with Business units and the Technology Group. Occasional travel will be required.

Duties include

Analysis, design, development, support and maintenance of DW, Data Lake and Lakehouse infrastructures
Technical expertise on data pipelines and ETL processes.
Solid understanding of SQL and Data Modelling
Hands on experience with Databricks on AWS cloud solutions
In-depth knowledge of Databricks ETL and Orchestration, notebook development and job scheduling
Collaborate with cross-functional teams of business analysts, business users and IT stakeholders gathering, documenting, analysing and implementing requirements
Collaborate with multiple teams to develop and maintain data pipelines, harvesting data from systems of records to create data products
Create and optimize relational databases schema, tables, indexes, views, and stored procedures
Perform data migration, transformation, and integration tasks between different database systems
Develop and maintain ETL processes to load and transform data from various sources
Work with other development groups to advise, guide and assist in their integrations
Familiarity with version control systems (e.g. GIT) and Agile development methodologies
Interact with vendor for support and consultancy
Work directly with reporting manager to ensure clear and accurate communication of current status, dependencies and estimated delivery timelines
Clearly communicate issues, risks and proposed solutions to relevant stakeholders
Coordinate the release process with business groups, operations in compliance with ITIL Change Management discipline
Communicate detailed descriptions of functionality changes and provide follow up support as required
Support QA testing
Provide direction & support to the Business Divisions for User Acceptance Testing
Utilizing Reporting tools to rapidly create, modify, refresh and update dashboards and reports

EDUCATION, EXPERIENCE & SKILLS:

DW / Business Intelligence / Cloud

5-7 years’ experience in DW/BI hands-on development and data-modelling experience
3-5 years’ experience in Databricks on Amazon Web Services cloud computing platforms
3-5 years’ experience in Reporting and Visualization tools with deep understanding of relevant architecture and framework

Development

Experience with business intelligence, data analysis, data modelling and visualization solutions on Cloud, on-premises and hybrid
Experience with Databricks platform
Experience with Python, SQL, relational database objects (Oracle and/or SQL Server) and procedural languages (PL/SQL and/or T-SQL)
Experience with Version Control systems
Web Services integration using REST/SOAP/JSON
Machine Learning/Artificial Intelligence is a plus
Exposure to SQL Server Integration Services

General

Must have excellent communication skills and be able present diagnostic, troubleshooting steps and conclusions to a varied audience including both business and technical stakeholders
- excellent listening and analytic skills
- excellent oral/written communication skills
- strong interpersonal and communication skills and ability to deal effectively in a team environment
Bachelor's degree in Computer Science, or similar discipline, or equivalent education and experience
Ability to work independently with or without direction and or supervision, portray professional demeanour

","hiringOrganization":{"@type":"Organization","name":"Citco","sameAs":"https://www.citco.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-08-04","description":"

This is a remote position.

About the Job
As a Senior Data Engineer at Aspire, will play a key role in designing, developing, and maintaining data workflows and pipelines, ensuring the efficient and reliable movement of data across various systems.

\n\n
\n\n\nWhat you’ll do
\n\n

Design, implement, and manage complex DAGs and SubDAGs in Apache Airflow.
Utilize Operators, macros, connections, variables, and xcom for efficient task execution.
Conduct unit testing to ensure the robustness of Airflow workflows.
Perform file operations and data movement between HDFS and S3 (and vice versa).
Manage Hive external tables, update table DDL, and handle partition operations.
Execute basic Hadoop commands and navigate/traverse HDFS.
Work with Hive on Tez for optimized query execution.
Utilize AWS command line tools for tasks such as listing and copying files from S3.
Implement and manage secrets using tools like Ansible Vault and AWS Secrets Manager.
Develop and optimize data processing tasks using PySpark.
Understand and leverage Livy for efficient Spark job execution.
Import and export data between Microsoft SQL Server and HDFS using Sqoop.
Apply dimension modeling principles, define facts and dimensions, and manage surrogate keys.
Implement effective branching strategies in Git.
Participate in the process of raising and reviewing Merge Requests in GitLab.
Utilize SSIS for migrating data workflows, ensuring a smooth transition.
Model data in Snowflake, differentiating between external and internal tables.
Understand the use of views and materialized views in Snowflake.

\n\n
\n\n\n What you’ll need
\n\n

Bachelor’s degree in computer science, information technology, or a related field.
Proficient in Python (both Python 2.7 and 3.6+).
Experience in unit testing and test-driven development.
Familiarity with Secrets Management tools and techniques.
Knowledge of data modeling principles and practices.
Strong understanding of Git version control and GitLab workflows.
Experience with SSIS and Snowflake is a plus.
Excellent problem-solving and communication skills.
Awareness or knowledge of IT security best practices as defined by ISO/SOC or similar.

\n\n
\n\n\nWhy Aspire
In addition to a competitive long-term total compensation with salary and performance-based bonus, we have a reward philosophy that expands beyond this. \n\n

Be part of a (Remote is here-to stay) organization.
Work and learn from great minds.
Explore new opportunities to learn and grow everyday by attending technical and nontechnical training.
Get market exposure by working with international tech leaders.
Nursery reimbursement benefit.
Aspire Wellness Program.
Attend virtual and onsite international tech conference.
Exposure to work in an IT environment that adheres to rigorous security and compliance standards defined by ISO/SOC.

\n\n
\n
","hiringOrganization":{"@type":"Organization","name":"Aspire, Jordan","sameAs":"https://aspire.jo/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jordan (Remote)","addressCountry":"Jordan","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-08-04","description":"

About the Job

As a Senior Data Engineer, you will design, develop, and optimize scalable, cloud-based data solutions that power the company’s analytics and business processes. You’ll leverage your expertise to architect advanced data pipelines and databases (primarily within AWS), collaborating closely with technical peers and business stakeholders. This senior individual contributor position focuses on hands-on technical impact, cross-team collaboration, and technical excellence.

What You'll Do

Architect, develop, and maintain cloud-based data warehouses (AWS Redshift), lakes (S3), and analytics solutions.
Design and optimize robust ETL pipelines with AWS Glue, Lambda, Python, and other AWS services.
Develop and manage complex schemas, tables, and advanced SQL procedures/functions.
Implement data ingestion from APIs and other diverse data sources.
Optimize data warehouse performance (query tuning, indexing, caching).
Lead or contribute to data migration projects (AWS DMS, etc.).
Build and maintain Power BI dashboards; facilitate integration within web apps (.NET or similar) as needed.
Drive infrastructure automation and provisioning with AWS CloudFormation.
Enable data science and ML workflows, especially using SageMaker.
Consistently uphold best practices in code quality, data reliability, data modeling, and security.
Mentor, coach, and provide technical guidance to mid-level and junior engineers through code reviews and best practice sharing.
Actively collaborate with analytics, business, and engineering teams throughout project lifecycles.
Stay up to date with the latest technologies in data engineering and propose innovative solutions.

What You'll Need

Bachelor’s or Master’s in Computer Science, IT, or a related field.
5+ years of hands-on work in data engineering, especially within the AWS stack (Redshift, Glue, S3, Lambda, EC2, DMS, CloudFormation, SageMaker).
Advanced SQL proficiency and hands-on experience with relational database systems (Redshift, PostgreSQL, SQL Server, etc.).
Significant experience designing and managing complex databases, schemas, tables, and custom functions.
Deep ETL development experience in AWS Glue, Lambda, Python, and integrating data from diverse sources.
Experience with Power BI (developing dashboards, embedding in apps).
Proven expertise in cloud infrastructure provisioning and automation (CloudFormation or similar).
Experience enabling analytics, reporting, and machine learning workloads on AWS.
Strong problem-solving and troubleshooting skills; able to work independently with minimal supervision.
Excellent communication and collaboration skills.
AWS Data Analytics or relevant cloud/data engineering certification(s).
Experience in large-scale data migrations and NoSQL databases (if relevant to your environment).
Familiarity with DevOps/CI-CD for data pipelines.
Proficiency in scripting and automation with Python.
Experience working with distributed or international teams.
Business-oriented mindset; comfortable gathering requirements and translating them into technical designs.
Awareness or knowledge of IT security best practices as defined by ISO/SOC or similar.

Why Aspire
In addition to a competitive long-term total compensation with salary and performance-based bonus, we have a reward philosophy that expands beyond this.

Be part of a (Remote is here-to stay) organization
Work and learn from great minds
Explore new opportunities to learn and grow everyday by attending technical and non-technical training
Get market exposure by working with international tech leaders
Nursery reimbursement benefit
Attend virtual and onsite international tech conference
Exposure to work in an IT environment that adheres to rigorous security and compliance standards defined by ISO/ SOC.

","hiringOrganization":{"@type":"Organization","name":"Aspire, Jordan","sameAs":"https://aspire.jo/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amman, Jordan","addressCountry":"Jordan","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-08-03","description":"

BlackStone eIT, a leading computer software company, is seeking a highly skilled Senior Data Engineer to join our dynamic team. As a Senior Data Engineer at BlackStone eIT, you will be responsible for designing, developing, and maintaining scalable data infrastructure and systems. You will work closely with cross-functional teams to gather data requirements, design data pipelines, and ensure data quality and integrity.

In this role, you will have the opportunity to work on diverse and challenging projects, leveraging the latest technologies and methodologies. We are looking for individuals who are passionate about data engineering and possess strong problem-solving and analytical skills.

Responsibilities

Lead the design, development, and maintenance of scalable data pipelines and data systems
Collaborate with cross-functional teams to understand data requirements and develop appropriate solutions
Create and optimize databases and data models for efficiency and performance
Implement and automate ETL processes to extract, transform, and load data from various sources
Ensure data quality and integrity by performing data validation and implementing data quality checks
Mentor and provide guidance to junior data engineers
Develop and maintain documentation related to data infrastructure and processes
Troubleshoot and resolve complex data-related issues
Stay up-to-date with the latest trends and technologies in data engineering and data management

Requirements

Bachelor’s degree or higher in a relevant field
Minimum of 5 years of experience as a Data Engineer
Strong proficiency in Tableau , Alteryx Dashboards with AI and Advanced analytics
Experience with data modeling, database design, and data warehousing concepts
Knowledge of ETL frameworks and tools
Experience with cloud platforms (e.g., AWS, Azure, GCP)
Experience with big data technologies (e.g., Hadoop, Spark)
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Ability to lead and mentor a team

Benefits

Paid Time Off
Work From Home
Performance Bonus
Training & Development

","hiringOrganization":{"@type":"Organization","name":"BlackStone eIT","sameAs":"https://www.blackstoneeit.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"N'gaous, Batna Province, Algeria","addressCountry":"Algeria","addressRegion":"Africa"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-08-03","description":"

Transform healthcare with us.

At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.

This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.

Join us in shaping the future of healthcare.

Job Summary:

Qualified Health is seeking a Staff ETL Pipeline Engineer to serve as both a hands-on technical leader and architectural authority for our data integration and transformation infrastructure. In this role, you'll combine deep healthcare data expertise with sophisticated engineering practices to design, implement, and maintain robust, scalable ETL pipelines that power our AI platform. You'll directly build and deploy critical data infrastructure while also driving its strategic evolution, working independently and collaborating with cross-functional teams to enhance our platform's data processing capabilities.

Key Responsibilities:

Lead by doing: directly architect, implement, configure, and deploy enterprise-grade data pipelines that handle complex healthcare data at scale
Own the end-to-end technical implementation of critical data infrastructure, from initial setup through production deployment and ongoing maintenance
Drive technical planning and architecture discussions with platform teams, defining and implementing data transformation patterns that balance scalability, reliability, and maintenance considerations
Provide hands-on technical oversight of ETL implementations, ensuring robust error handling, monitoring, and operational excellence
Develop, test, and deploy reusable ETL components and frameworks to accelerate development and ensure consistency across pipelines
Implement sophisticated data quality checks and monitoring solutions to ensure reliable data processing
Actively debug and optimize pipeline performance, solving complex data processing challenges in production environments
Provide authoritative guidance on healthcare data formats, ETL patterns, and data quality best practices to both internal teams and implementation partners
Mentor data engineers through direct collaboration on technical implementations while driving adoption of best practices
Partner with platform architects to resolve complex data integration challenges and ensure production reliability
Influence technical roadmap based on deep understanding of healthcare data processing needs and hands-on implementation experience

Required Qualifications:

8+ years of experience in data engineering, with demonstrated expertise in healthcare data processing and ETL architecture
Extensive hands-on experience building and deploying production ETL pipelines using modern cloud technologies
Deep technical knowledge of healthcare data standards and formats (HL7v2, FHIR, CDA, X12)
Proven track record implementing enterprise data warehouse solutions (Snowflake, Databricks) and their associated ETL patterns
Strong history of directly building and deploying complex ETL solutions in regulated environments
Demonstrated ability to both architect solutions and implement them hands-on at enterprise scale
Advanced software engineering capabilities with extensive experience in:

Modern programming languages (Python, Java, Scala)
Azure cloud platform and services (Data Factory, Synapse, Databricks)
Advanced SQL and data modeling
Distributed computing and data processing frameworks
CI/CD pipelines for data infrastructure
Infrastructure as Code (IaC) tools and practices

Outstanding written and verbal communication skills, with ability to explain complex data architectures to varied audiences while documenting implementations thoroughly
Bachelor's degree in Computer Science, Engineering, or related field

Preferred Qualifications:

Experience implementing data pipelines for AI/ML applications in healthcare
Deep expertise in Azure cloud services with hands-on implementation experience
Practical experience implementing HIPAA and HITRUST compliance requirements in data infrastructure
Track record building real-time data processing and streaming architectures
Relevant data engineering or cloud platform certifications
Master's degree in relevant field

Technical Environment:

Our data infrastructure is built on modern cloud technologies including:

Azure Cloud Platform (primary)
Azure Data Factory
Azure Synapse Analytics
Azure Databricks
Snowflake
Python, Java, and Scala
Modern CI/CD and Infrastructure as Code tools

The role requires both deep expertise in these technologies and the ability to implement production-grade solutions using them.

Impact & Growth Opportunity:

As a Staff ETL Pipeline Engineer at Qualified Health, you'll play a crucial role in both building and evolving the data foundation that powers our AI platform's ability to deliver insights to major health systems. You'll have the opportunity to directly implement critical infrastructure while influencing our technical architecture and platform capabilities, working with cutting-edge technologies that improve healthcare delivery. This position offers significant visibility and growth potential as we scale our platform across the healthcare ecosystem.

What We Offer:

Competitive startup salary and equity packages.
Health, dental, and vision insurance.
Flexible working hours and hybrid work options.
An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes.
A vibrant and inclusive work environment that fosters creativity and innovation.

Pay & Benefits: The pay range for this role is between $160,000 and $220,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

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At Lighthouse, we’re on a mission to disrupt commercial strategy for the hospitality industry. Our innovative commercial platform takes the complexity out of data, empowering businesses with actionable insights, advanced pricing tools, and cutting-edge business intelligence to unlock their full revenue potential.

Backed by $370 million in series C funding and driven by an unwavering passion for growth, we’ve welcomed five companies into our journey and have surpassed $100 million in ARR in 2024. Our 700+ teammates span 35 countries and represent 34 nationalities.

At Lighthouse, we’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀

What you will do

As a Senior Data Engineer, you will be a key player in ensuring the stability and reliability of our data integrations. Offering support is a large and core focus of this role as you will be responsible for maintaining our existing integrations, acting as the technical expert for any issues that arise. This involves deep technical problem-solving, analyzing and addressing complaints from hotels, and debugging our data pipelines to find and fix root causes. A significant part of your role will be managing communication with a wide variety of internal and external stakeholders. You will not only resolve immediate issues but also take ownership of improving our overall support processes to make our team more effective and proactive.

Where you will have impact

Maintain and enhance existing data integrations, ensuring the high reliability and quality of data from our external partners.
Lead the investigation and resolution of complex technical issues, performing deep-dive analysis into our code and systems to identify the root cause of problems.
Manage communication effectively with a wide range of stakeholders—including hotels, customer care, account managers, and company leadership—providing clear, transparent, and timely updates on ongoing incidents.
Collaborate with external partners to gather necessary information and troubleshoot integration issues.
Proactively identify and drive improvements to our support processes, tooling, and documentation, helping to build a more scalable and efficient support function.

About our team

The Data Engineering team is the gatekeeper of Lighthouse's vast datasets. Our mission is to reliably transform, integrate, and store the numerous data sources that power our BI products, from web-scraped data to direct API integrations. We handle a staggering amount of information—our main dataset holds over 3 trillion hotel rates, and we process over 100TB of data daily. You'll join a highly talented and collaborative group of 8 data engineers.

What's in it for you?

Flexible working environment: Work from home or at one of our global offices.
Flexible time off: Autonomy to manage your work-life balance.
Alan Healthy benefits: 160€/month for food, transportation, or nursery.
Wellbeing support: Subsidized up to 80% ClassPass subscription.
Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
Collaborative team: High-bar, friendly, creative, and passionate colleagues.
Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
Impactful work: Shape products relied on by 85,000+ users worldwide.
Competitive compensation: Proactively maintained to value your work.
Referral bonuses: Earn rewards for bringing in new talent.

Who you are

You thrive in a support-focused role, enjoying the challenge of debugging complex systems and ensuring their stability and reliability.
Strong proficiency in Python with a demonstrated affinity for working with large-scale data.
A thorough approach to development, with an ability to identify edge cases and potential issues in code.
Experience building and maintaining data processing pipelines.
The ability to work effectively both independently and as part of a collaborative, open team.
Excellent verbal and written communication skills in English, with the ability to explain technical concepts to diverse audiences.

We welcome

Hands-on experience with a major cloud platform such as GCP, AWS, or Azure.

Technologies you will work with

Google Cloud Pub/Sub, BigTable, BigQuery, Dataflow, Kubernetes, Python

#LI-Remote

Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. We actively encourage applications from individuals with disabilities and are dedicated to providing reasonable accommodations throughout the recruitment process and during employment to ensure all qualified candidates can participate fully. Our commitment to equality is not just a policy; it's part of our culture.

If you share our passion for innovation and teamwork, we invite you to join us in shaping the future of the hospitality industry. At Lighthouse, our guiding light is to be an equal opportunity employer, and we encourage individuals from all walks of life to apply. Not ticking every box? No problem! We value diverse backgrounds and unique skill sets. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you.

We value the unique perspective and talents that you bring, and we're excited to see how your light can shine within our team. We can't wait to meet you and explore how we can grow and succeed together, illuminating the path towards a brighter future for the industry.

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What you will do

Where you will have impact

Maintain and enhance existing data integrations, ensuring the high reliability and quality of data from our external partners.
Lead the investigation and resolution of complex technical issues, performing deep-dive analysis into our code and systems to identify the root cause of problems.
Manage communication effectively with a wide range of stakeholders—including hotels, customer care, account managers, and company leadership—providing clear, transparent, and timely updates on ongoing incidents.
Collaborate with external partners to gather necessary information and troubleshoot integration issues.
Proactively identify and drive improvements to our support processes, tooling, and documentation, helping to build a more scalable and efficient support function.

About our team

What's in it for you?

Flexible working environment: Work from home or at one of our global offices.
Flexible time off: Autonomy to manage your work-life balance.
Alan Healthy benefits: 160€/month for food, transportation, or nursery.
Wellbeing support: Subsidized up to 80% ClassPass subscription.
Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
Collaborative team: High-bar, friendly, creative, and passionate colleagues.
Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
Impactful work: Shape products relied on by 85,000+ users worldwide.
Competitive compensation: Proactively maintained to value your work.
Referral bonuses: Earn rewards for bringing in new talent.

Who you are

You thrive in a support-focused role, enjoying the challenge of debugging complex systems and ensuring their stability and reliability.
Strong proficiency in Python with a demonstrated affinity for working with large-scale data.
A thorough approach to development, with an ability to identify edge cases and potential issues in code.
Experience building and maintaining data processing pipelines.
The ability to work effectively both independently and as part of a collaborative, open team.
Excellent verbal and written communication skills in English, with the ability to explain technical concepts to diverse audiences.

We welcome

Hands-on experience with a major cloud platform such as GCP, AWS, or Azure.

Technologies you will work with

Google Cloud Pub/Sub, BigTable, BigQuery, Dataflow, Kubernetes, Python

#LI-Remote

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About Us:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

Role Description:

As a Senior Engineer, you’ll design and implement functionalities, focusing on Data Engineering tasks. You’ll be working with semi-structured data to ingest and distribute it on a Microsoft Fabric-based platform, modernizing data products and distribution channels. You’ll drive the software development lifecycle for continuous data delivery and lead the evaluation and adoption of emerging technologies.

Key Responsibilities:

Provide partnership and support to SME’s and Tech Leads to ensure delivery on commitments

Build and maintain secure and compliant production data processing pipelines on Microsoft fabric and azure to ingest, land and transform data to on data product.
Ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints.
Design, implement, monitor, and optimize data platforms to meet the data pipelines needs from functional and non-functional requirements.
Responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming, and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, implementing required monitoring and telemetry and accessing external data sources.
Design and operationalize large scale enterprise data solutions and applications using one or more Azure data and analytics services!
Implement data solutions that use the following Azure services: Delta.io, Lakehouse, Fabric, Azure Cosmos DB, , Azure Data Factory, Spark, and Azure Blob storage, Microsoft Purview etc.

Skills and experience:

Depending on seniority relevant experience in Data Platforms (in Financial Services industry), Azure’s PaaS/SaaS offerings (Fabric, Synapse, Purview, ADF, Azure Data Lake Storage etc.)
Demonstrable experience in a similar role, with a focus on cloud distributed data processing platform for spark, and modern open table concept like delta/iceberg.
Solid experience with Azure: Synapse Analytics, Data Factory, Data Lake, Databricks, Microsoft Purview, Monitor, SQL Database, SQL Managed Instance, Stream Analytics, Cosmos DB, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, ARM Templates.
Strong proficiency in Spark, SQL, and Python/scala/Java.
Experience in building Lakehouse architecture using open-source table formats like delta, parquet and tools like jupyter notebook.
Strong notions of security best practices (e.g., using Azure Key Vault, IAM, RBAC, Monitor etc.).
Proficient in integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions.
Understand the data through exploration, experience with processes related to data retention, validation, visualization, preparation, matching, fragmentation, segmentation, and enhancement.
Ability to think strategically and operate in day-to-day delivery mode requirement of the role.
Demonstrates ability to understand business requirements and the implications of those requirements on current and future roadmaps.
High level understanding of Azure DevOps
Agile development processes (SCRUM and Kanban)
Strong communication, presentation, documentation, and interpersonal skills
Able to self-manage and work independently in a fast-paced environment with dynamic requirements and priorities.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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Description-

Where elite engineering talent meets world-class opportunities

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

We are building a community of top-tier engineering minds and we are inviting exceptional Data Engineers to join our elite collective and collaborate on the future of data infrastructure and analytics at scale.

Structured Onboarding Process

To maintain the quality and impact of our engineering collective, we follow a simple, effective onboarding process:

Screening – Review applicants based on 7+ years of experience in Data Engineering, with deep knowledge of Databricks, ETL/ELT workflows, lakehouse architecture, and cloud-based systems.
Technical Assessment – Evaluate via pipeline design challenges, optimization exercises, or use-case walkthroughs.
Interview & Alignment – Assess collaboration mindset, problem-solving approach, and fit within our expert network.

Ready to Engineer the Future?

Become part of Xenon7’s Elite Data Engineering Community, where your skills are respected, your voice matters, and your work powers innovation at scale.

Let’s connect and explore how your expertise can drive the next wave of transformation.

Requirements

Who Are We Looking For?

Data Engineers at Xenon7 are builders, problem-solvers, and performance-optimizers. They design the pipelines that power intelligent systems, enabling teams to access, transform, and act on data with confidence.

We’re building a handpicked network of high-impact data engineering professionals who are:

7+ years of experience in data engineering roles
Skilled in Python, PySpark, and SQL
Experienced in building scalable ETL/ELT pipelines using Databricks or similar big data platforms
Well-versed in lakehouse architecture, data lakes, and governance practices (e.g., Unity Catalog)
Comfortable using Git-based tools (Bitbucket, GitHub) in a collaborative DevOps environment
Experienced in cloud data engineering on Azure or AWS
Knowledgeable in workflow orchestration (Databricks Workflows, Airflow, etc.)
Focused on optimization, performance, and reliability
Preferred: Familiarity with Snowflake, CI/CD pipelines, and tools like Jenkins

Benefits

Why You Should Join Us?

At Xenon7, we’re curating a trust-based, expert-driven collective where we bring the projects, and you bring the expertise.

No spam, no endless listings. Just curated, high-impact projects that match your skillset and ambition.
We understand the value of your time, expertise, and independence. You’re a strategic partner in solving real business challenges.
Work with leading healthcare enterprises, innovative startups, and digital disruptors. We connect you to projects where your contribution truly matters.
Get paid in USD, with clear, timely, and reliable payment structures, so you focus on delivering impact, not chasing invoices.
Pick the projects that align with your interests and availability. No long-term lock-ins, no pressure, you work when and how it suits you.
Join global teams and collaborate remotely with the best minds across industries, all from the comfort of your chosen workspace.
Engage with a community of top-tier professionals. Exchange knowledge, share ideas, and grow with every collaboration.

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Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Key Responsibilities

Design, implement, and maintain Data Lakehouse solutions, integrating structured and unstructured data sources.
Develop scalable ETL/ELT pipelines using tools like Apache Iceberg, Trino, Apache Spark, Delta Lake, Databricks, or Snowflake.
Optimize data storage formats and query performance across large datasets.
Implement security and compliance best practices in data management (role-based access control, data masking, etc.).
Collaborate with cloud and DevOps teams to support data infrastructure automation and monitoring.

Required Skills & Qualifications

8+ years of hands-on experience with Apache Iceberg, Trino, Databricks, Delta Lake, or Snowflake.
Proficiency in Apache Spark, Python/Scala, and SQL
Strong working experience of data modeling, data partitioning, and performance tuning.
Familiarity with data governance, data lineage, and metadata management tools.
Experience working in Agile/Scrum teams.
Work with structured and semi-structured data stored in object storage systems like S3, GCS.
Experience with Apache Iceberg, SQL, and Python.

Familiarity with data orchestration tools like Apache Airflow.

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Candidate Privacy Policy

Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:

What information we collect during our application and recruitment process and why we collect it;
How we handle that information; and
How to access and update that information.

Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.

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