{"@context":"https://schema.org","@type":"ItemList","name":"Data Engineer Jobs: Find Your Next Career Opportunity","description":"Explore Data Engineer job opportunities in leading companies. Apply now and kickstart your career in data engineering. Find the latest Data Engineer roles here.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Data Engineer, Analytics","datePosted":"2025-08-12","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Engineer, Analytics Responsibilities

Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
Define and manage SLA for all data sets in allocated areas of ownership.
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
Influence product and cross-functional teams to identify data opportunities to drive impact.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Minimum Qualifications

Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Data Science, Applied Sciences, or a related field
Requires completion of a university-level course, research project, internship, or thesis in the following:
1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
2. Programming in Python, Perl, Java, or PHP
3. Internet technologies: HTTP, HTML, CSS, or JavaScript
4. Writing SQL statements
5. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
6. Data warehousing architecture and plans, AND
7. Informatica, Talend, Pentaho, dimensional data modeling, or schema design

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$240,337/year to $279,400/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, WA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Data Engineer, Analytics","datePosted":"2025-08-13","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Engineer, Analytics Responsibilities

Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
Define and manage SLA for all data sets in allocated areas of ownership.
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
Influence product and cross-functional teams to identify data opportunities to drive impact.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Minimum Qualifications

Requires a Master's degree(or foreign equivalent degree) in Computer Science, Engineering, Information Systems, Information Management, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and one year of work experience in the job offered or in a computer-related occupation. Requires one year of experience in the following:
1. Features, design, and use-case scenarios across a big data ecosystem
2. Custom ETL design, implementation, and maintenance
3. Object-oriented programming languages
4. Schema design and dimensional data modeling
5. Writing SQL statements
6. Analyzing data to identify deliverables, gaps, and inconsistencies
7. Managing and communicating data warehouse plans to internal clients
8. MapReduce or MPP system
9. Python

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$203,302/year to $235,400/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, WA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Data Engineer (Analytics)","datePosted":"2025-08-20","description":"

As a Data Engineer, you will collaborate with various stakeholders to design, develop, and maintain data analytics solutions that enable informed business decisions. You will use the latest tools and technologies to ensure the data is accurate, timely, and actionable.

Qualifications:

3+ years of experience working as a BI Developer or Data Engineer
Excellent SQL skills
Python proficiency
Experience designing analytics-oriented data models and data warehouses
Experience working with data pipelines and ETL processes (e.g., Airflow, Luigi, AWS Glue, DBT)
Passionate about data with a strong analytical approach
Experience working with cloud environment services (e.g., AWS, GCP, Azure)

Bonus points:

Strong understanding of business metrics and how to translate data into actionable insights
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Familiarity with data governance and data quality best practices
Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers

How is your day going to look, what will you be doing?

Develop data solutions in collaboration with data analysts, data scientists, product engineers, and product managers
Design and develop the infrastructure for ingesting and processing data in the analytics data warehouse
Design data analytics modeling solutions focused on business decision-making
Write robust ETL processes, handling a variety of structured and unstructured data sources
Ensure data quality, consistency, and governance across the analytics layer

About Melio:

Melio builds business-to-business (B2B) payment tools so small business owners can spend less time in the back office and more time on their craft. As the fastest-growing B2B payment platform in the US, Melio is working hard to find new and better ways to help small businesses succeed in the ways that work best for them. With offices in New York, Denver, and Tel Aviv and a vibrant work culture, Melio is expanding every day. We are a diverse group of people who love what we do and do what we love. If you are a driven and passionate team player, you will fit right in. We are an equal opportunity employer and are always on the lookout for top-notch talent—please reach out if you would like to join us on this exciting journey!

About the hiring department:

The Engineering department is Melio's backbone. We provide consultation, support, and designs for technical solutions, supporting our customers and the entire organization. We get involved from the early stage of a project, making the connection between customer needs and our product design, and then translating these into solutions.

","hiringOrganization":{"@type":"Organization","name":"Melio","sameAs":"https://www.meliopayments.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Analytics – Data Engineer","datePosted":"2025-08-15","description":"

TransUnion's Job Applicant Privacy Notice

Personal Information We Collect

Your Privacy Choices

What We'll Bring:

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

We aim high — and are reaching for new heights every day. This is a terrific time to join our team as we build on our commitment to integrity, service, reliability and innovation. These values stand behind the decisions we make every day, as well as our relationships at work and with the customers we serve. We believe in the power to achieve and are taking it in bold new directions.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

What You'll Bring:

Bachelor’s or master’s degree in computer science, data science, analytics, business intelligence, or a related field.
3-5 years' experience in building and deploying ETL pipelines.
Proficiency in analytics tools such as SQL, Python, R, and data visualization software such as Superset
Proficient in Linux including Shell Scripting, Package Management, and troubleshooting.
Ability to complete advanced functions including joins, calculations and intermediate SQL proficiency.

What will set you apart:

Strong analytical skills with the ability to interpret complex data sets.
Strong understanding of logic, definitions, and argumentation
Ability to work independently and as part of a team.
High attention to detail and strong organizational skills.
Experience with project management and the ability to manage multiple priorities.
Hands on experience in model building and performance evaluations.

Impact You'll Make:

Who We Are

A global leader in credit information and information management services, Transunion gives businesses, consumers and the global community the power to achieve their goals. Businesses count on us to better manage risk and customer relationships. Consumers are able to better manage credit to achieve their financial goals. And in communities around the world we help build strong economies and give people the power to achieve their dreams.

Exceptional opportunities are coming as we build on this strong foundation. Our ambitious growth strategy includes substantial new investment worldwide, a wide range of new solutions to help our customers succeed like never before, and new ideas for expanding our reach in every part of our dynamic and fast-moving industry. We’re on an exciting journey and you can be a part of it. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

How You Will Contribute

Build ETL pipelines and ingest data from different sources (like RDBMS, APU, DataLake (S3)) for KPIs and new data sources
Monitor ETL jobs and adapt to partner changes
Collaborate with stakeholders to define scope, investigation parameters, and objectives of new ETL jobs and Analyses
Build BI reports in Superset.
Ensure analytics development processes and controls comply with policy and are well documented
Monitor and evaluate the effectiveness of data pipelines and recommend improvements

#LI-TE1

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Benefits:

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.

Pay Scale Information :

The U.S. base salary range for this position is $78,750.00 - $131,250 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations.

Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.

TransUnion's Internal Job Title:

Consultant, Analytics Consulting","hiringOrganization":{"@type":"Organization","name":"TransUnion","sameAs":"https://www.transunion.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago - 555 West Adams St, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Enterprise Analytics Data Engineer","datePosted":"2025-07-21","description":"

Be an essential element to a brighter future.

We work together to transform essential resources into critical ingredients for mobility, energy, connectivity and health. Join our values-led organization committed to building a more resilient world with people and planet in mind. Our core values are the foundation that make us successful for ourselves, our customers and the planet.

Job Description

Overview

As an Azure Enterprise Analytics Data Engineer, you will play a key role in designing, building, and optimizing data pipelines and analytics solutions on the Microsoft Azure platform. You will collaborate with cross-functional teams to transform business requirements into scalable data solutions, ensuring data integrity, performance, and accessibility.

Key Responsibilities

Design and implement scalable data pipelines and analytics solutions using Azure services.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
Develop and maintain data models, ETL processes, and data integration workflows.
Ensure data quality, governance, and security across all analytics platforms.
Create interactive dashboards and visualizations to support business decision-making.
Optimize performance of data systems and troubleshoot issues as needed.
Contribute to the development and deployment of machine learning models and statistical analyses.
Participate in version-controlled development workflows and collaborative analytics projects.

Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
3+ years of experience in data science, modeling, or programming (Python, MATLAB, R, C++, SQL, Java, etc.).
3+ years of experience in data visualization tools (Plotly, Power BI, Tableau, Matplotlib, etc.).
Strong understanding of statistical and machine learning methods.
Hands-on experience with database and cloud platforms (Databricks, Spark, Microsoft SQL, SAP HANA, Microsoft Cloud).
Experience with Azure Data Factory for orchestrating data workflows.
Proficiency in Microsoft SQL Server for data storage and querying.
Hands-on experience with Azure Data Lake for big data storage and analytics.
Experience with Generative AI tools such as Azure OpenAI or Databricks Genie.
Proficiency in front-end development technologies (HTML, CSS, JavaScript, Bootstrap, etc.).
Experience with version-control systems (GitHub, etc.).
Demonstrated ability to use data to make strategic recommendations and inform decisions.
Excellent communication skills with the ability to present findings clearly and concisely.
Proven experience working in collaborative teams, including co-development of models and results.

Benefits of Joining Albemarle

Competitive compensation
Comprehensive benefits package
A diverse array of resources to support you professionally and personally.

We are partners to one another in pioneering new ways to be better for ourselves, our teams, and our communities. When you join Albemarle, you become our most essential element and you can anticipate competitive compensation, a comprehensive benefits package, and resources that foster your well-being and fuel your personal growth. Help us shape the future, build with purpose and grow together.

","hiringOrganization":{"@type":"Organization","name":"Albemarle Corporation","sameAs":"https://www.albemarle.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India-KA-Bangalore (BAN)","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Analytics)","datePosted":"2025-07-20","description":"

As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.

Key Responsibilities:

Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.

Qualifications:

5+ years of experience as a Data Engineer or in a similar role.
Expertise in SQL and proficiency in Python for data engineering tasks.
Proven experience designing and implementing analytics-focused data models and warehouses.
Hands-on experience with data pipelines and ETL/ELT frameworks (e.g Airflow, Luigi, AWS Glue, DBT).
Strong experience with cloud data services (e.g., AWS, GCP, Azure).
A deep passion for data and a strong analytical mindset with attention to detail.

Bonus points:

Strong understanding of business metrics and how to translate data into actionable insights
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Familiarity with data governance and data quality best practices
Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers

What your day might look like:

Leading the design and implementation of scalable data pipelines to support analytical workloads.
Collaborating with stakeholders to gather requirements, propose solutions, and align on data strategies.
Writing and optimizing ETL processes to ensure seamless integration of new data sources.
Designing analytics-focused data modeling solutions tailored for strategic decision-making.
Troubleshooting data issues and implementing measures to improve system reliability and accuracy.
Sharing knowledge and mentoring team members to promote a culture of learning and excellence.

This is an opportunity to make a significant impact by enabling data-driven decision-making at scale while growing your career in a dynamic, collaborative environment.

About Melio:

About the hiring department:

","hiringOrganization":{"@type":"Organization","name":"Melio","sameAs":"https://www.meliopayments.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Analytics Senior Data Engineer","datePosted":"2025-07-21","description":"

Join Our Team as an Analytics Senior Data Engineer!

At True Rx Health Strategists, we’re on a mission to transform healthcare through data-driven insights that drive smarter, faster, and more impactful decisions. We’re looking for a Senior Data Engineer who thrives on solving complex problems, building innovative data solutions, and collaborating with dynamic teams to make a real difference in healthcare.

As our Analytics Senior Data Engineer, you’ll play a critical role in shaping and optimizing the data infrastructure that powers our Trade Relations and Analytics teams. You’ll leverage your expertise in ETL, data modeling, and database management to design, develop, and maintain data marts and pipelines that fuel enterprise-wide insights. From refining database performance to driving new integration initiatives, your work will help unlock new opportunities for growth and innovation.

95% Remote and 5% in office expectations for meetings and trainings

What You’ll Do:

Lead the development and optimization of data marts and data models to support Trade Relations and Analytics.
Design, build, and maintain ETL pipelines and database solutions that enable efficient, reliable data flow.
Collaborate with cross-functional teams to understand data needs and translate them into scalable solutions.
Proactively monitor and improve database performance, ensuring systems are optimized for speed and efficiency.
Drive integration efforts, leading the way on new data initiatives.
Mentor and support teammates, sharing your knowledge of tools, best practices, and emerging trends.

What You Bring:

5+ years of hands-on experience in data management, database design, and ETL processes.
Expertise in PL/SQL, stored procedures, schemas, views, and database optimization.
Familiarity with ETL tools (SnapLogic, Informatica, ADF, MuleSoft, etc.).
Experience working with structured and unstructured data and maintaining data integrity.
Strong collaboration and communication skills with a passion for mentoring and continuous learning.
Bonus: Experience in pharmaceutical rebate management, PBM, or healthcare analytics.

True Rx Health Strategist Benefits:

Path to Wellness: Health, Vision, & Dental Insurance, Health Savings Account, and Wellness Incentives for a balanced life.
Financial Fitness: 401k Matching and Employer-Provided Life Insurance to secure your future.
Work-Life Harmony: Flex Time, Hybrid/Fully Remote Work, Paid Time Off, and 8 Paid Holidays for a well-rounded lifestyle.

Our Story:
We’ve been pharmacy innovators since the Wright Brothers took flight. For more than 120 years, we have been innovating pharmacy solutions and taking care of patients. True Rx Health Strategists is led by a fourth generation of pharmacists. We are family-owned and continue to provide caring service for clients and patients. Our team of pharmacists and strategists delivers proven programs that find maximum savings and minimum disruption by creating a benefits plan that fits the unique needs of clients and patients. Learn more about us here.

Our Mission:

True Rx Health Strategists cultivates health, integrity, innovation, and care to transcend pharmacy benefit solutions for employers and patients.

Learn more about our remarkable team members.

Our Promise:

As a pharmacist-led company, True Rx Health Strategists has an oath to treat members as patients. With our experience as health care providers, we protect companies against waste in health care spending and work hard to improve the health of employees every day. We get to improve lives by treating employees as our patients. Here are a few words from one of those lives.

True Rx Health Strategists hires equally for culture fit and technical skills and experience. If you have the aptitude and attitude, we can help you grow your career through training, mentoring, increasing responsibility, and being around other rock star team members.

True Rx Health Strategists is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

","hiringOrganization":{"@type":"Organization","name":"True Rx Health Strategists","sameAs":"https://truerx.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, Indiana, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Analytics)","datePosted":"2025-08-07","description":"

About us:

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. We don’t do memecoins.

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

About the team:

The Data community at Luno, comprising Data Engineers, Scientists, and Analysts, uncovers valuable insights from the vast amounts of data we gather from our customers and platform. These insights are crucial for guiding our product development and business strategy.

As a Senior Data Engineer at Luno, you would be part of the Business Insights Team. Our focus is to provide the business with trusted, timely and accurate data for reporting and business insights. Our current technology stack includes Databricks and Looker.

The role in a nutshell:

Our end goal as a team is to enable the business to drive data informed decisions across all facets of the business. Your role will involve designing, building, and maintaining our analytical warehouse to facilitate trusted product and enterprise reporting solutions, self-service and deliver compelling stories through dashboarding.

Your mission will be:

Collaborate with data scientists, platform data engineers, data analysts and business to collect business requirements
Determine the data needed to address the business needs and formulate the business requirements into analytical objectives
Design data models using the principles of Dimensional data modelling
Build the analytical warehouse with the appropriate dims and facts tables
Provide guidance and mentorship to team members including code reviews
Ensure that all data pipelines are automated and scalable
Develop and maintain the high standards and best practices including but not limited to data governance, code reviews, release management, version control etc
Ensure that our data catalogue, business glossary and other relevant documentation is updated regularly, allowing for improved self-service capabilities and trust in our data and reporting.
Provide insights and recommendations to the other data team and business stakeholders

A little about you:

You are passionate about data analytics and related disciplines
You are proficient in designing and implementing complex analytical solutions
An expert in dimensional data modeling and database management
Extensive experience using ETL/ELT tools and techniques
You are intellectually curious and have the persistence to find answers to difficult questions/problems
You have strong leadership experience and engages in strategic conversations
You have strong interpersonal and communication skills
You are a team player, enthusiastic about growing and developing others
You can handle uncertain and ambiguous scenarios
You keep abreast of developments and emerging trends in data

The ideal Lunaut will have:

Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Information Technology, Engineering or Economics
Proven experience as an Analytical Data Engineer, Data Engineer or similar role, minimum 4 years.
Exploratory data analysis and/or optimisation skills
Advanced SQL skills and experience with relational databases
Strong interpersonal and communication skills
Demonstrate leadership skills and the ability to mentor and guide other team members
Familiarity with industry best practices in data engineering and analytics
Ability to explain data concepts to non-experts in a clear, and structured manner
Ability to work independently, as well as within and across multi-disciplinary teams
Ability to successfully complete projects with large and/or incomplete data sets
Enthusiasm to work in the crypto industry
Adaptable and capable of working in fast-paced environments
Great analytical, critical thinking and problem-solving abilities

What will really get you noticed:

Experience working with Databricks
Experience working with business intelligence platform (Looker, Qlik or others)
Solid understanding of ELT processes, database design and data modelling techniques
Experience with designing and implementing analytical data warehouse solutions within a data lake architecture

Life at Luno:

Remote but reachable work policy gives you the freedom to choose between working from home or the office.
Plus the option to buy and sell up to 5 days leave
Improve body and mind, with excellent private medical insurance
Access to Learnably and our additional learning platforms for your personal and professional development
6 months primary care-giver leave
Paw-ternity leave for your furry friend
Annual Inspiration Day in addition to your annual leave which increases based on your length of service!
A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts
Free lunch and snacks
0 fees up to a certain amount with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

","hiringOrganization":{"@type":"Organization","name":"Luno","sameAs":"https://www.luno.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cape Town","addressCountry":"South Africa","addressRegion":"Africa"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Analytics)","datePosted":"2025-08-07","description":"

Key Responsibilities:

Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.

Qualifications:

5+ years of experience as a Data Engineer or in a similar role.
Expertise in SQL and proficiency in Python for data engineering tasks.
Proven experience designing and implementing analytics-focused data models and warehouses.
Hands-on experience with data pipelines and ETL/ELT frameworks (e.g Airflow, Luigi, AWS Glue, DBT).
Strong experience with cloud data services (e.g., AWS, GCP, Azure).
A deep passion for data and a strong analytical mindset with attention to detail.

Bonus points:

Strong understanding of business metrics and how to translate data into actionable insights
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Familiarity with data governance and data quality best practices
Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers

What your day might look like:

Leading the design and implementation of scalable data pipelines to support analytical workloads.
Collaborating with stakeholders to gather requirements, propose solutions, and align on data strategies.
Writing and optimizing ETL processes to ensure seamless integration of new data sources.
Designing analytics-focused data modeling solutions tailored for strategic decision-making.
Troubleshooting data issues and implementing measures to improve system reliability and accuracy.
Sharing knowledge and mentoring team members to promote a culture of learning and excellence.

This is an opportunity to make a significant impact by enabling data-driven decision-making at scale while growing your career in a dynamic, collaborative environment.

About Melio:

About the hiring department:

","hiringOrganization":{"@type":"Organization","name":"Melio","sameAs":"https://www.meliopayments.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Data Engineer / Analytics Engineer","datePosted":"2025-08-05","description":"

RELEX Solutions creates cutting-edge supply chain and retail planning software. Within our platforms, we have the power and potential to increase adaptability, efficiency and sustainability in the consumer goods and retail value chain. Our impact is tangible; from sustainability and eliminating waste to delighting customers and delivering great tailored tech solutions, we’re curious and passionate challenge-seekers creating the future of retail today.

We are looking for an experienced Data Engineer / Analytics Engineer to join our Business Intelligence and Information Management team in Helsinki. You will be joining a growing team turning data into insights for the whole of RELEX, supporting our rapid growth across the globe.

You will be working closely with BI analysts as well as business stakeholders to ensure that core business initiatives are supported by high-quality data. You will have a key role in shaping our analytics data architecture, supporting building capabilities to produce accurate and timely business decisions and self-service data use. You will actively develop our ways of working, both within our central BI team as well as the collaboration with and between internal business stakeholders.

What you will be doing:

Developing our BI Data Warehouse / Platform for e.g. stability, scalability, performance and cost-effectiveness
Building and maintaining scalable infrastructure and data pipelines
Transforming raw data into reusable self-service data products for business users & taking ownership of developing data modelling practices within the team
Establishing processes and practices to maintain data integrity, quality, security, and compliance with relevant regulations
Participating in and developing data governance and information management processes

We’re looking for:

Suitable education, e.g. master’s degree in engineering or computer science
A minimum of 3-5 years of experience in data engineering
Strong analytical skills, proactivity and willingness to learn
Deep understanding of data warehousing concepts and practices
Track-record of architecting and building scalable ETL/ELT pipelines and data management, data modelling
Excellent skills with relevant technologies, such as Snowflake, Azure, Python, dbt and SQL
Fluent English skills

Our Helsinki office

RELEXians can be found around the world, but here we’re based in Helsinki. We’re passionate about using our technology to improve sustainability and change the world. Our office provides a great space for you to socialise, exercise and even take time out in our relaxing areas. We make sure our unique approach to flexibility and work-life balance comes across loud and clear; we’re conveniently located, there’s plenty of public transport and you can even bring your pet to the office!

Across RELEX, our people are supported and rewarded.

In Finland, we go even further. As well as:

A competitive salary
Flexible and hybrid working
Extensive physical and wellbeing support
Up to 8 weeks of annual leave per year
A true hybrid-working policy (home and office)

We also offer a range of benefits to support you, your family, and your life situation. We value your work-life balance and provide flexible hours with RELEX specific parental leave agreements. As we’re a diverse team of smart, motivated and fun people, we also have an office gym, offer a mobile phone package and bike leasing.

We’re on a journey with our pioneering technology and exciting growth, which is why we celebrate diversity and are committed to creating an inclusive environment for everyone. We can’t wait to see what challenges you’ll overcome and what problems you’ll solve. Join us and work with the best. Be curious. Be RELEX – Apply today.

Are you the one we’re looking for? Apply today and become a part of our RELEX family!

","hiringOrganization":{"@type":"Organization","name":"RELEX Solutions","sameAs":"https://www.relexsolutions.com/careers/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Helsinki, Finland","addressCountry":"Finland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Analytics Data Engineer","datePosted":"2025-08-05","description":"

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

Sr Analytics Engineer

We are looking for an experienced Analytics Engineer to join Okta’s enterprise data team. This analyst will have strong background in SaaS subscription and product analytics, a passion for providing customer usage insights to internal stakeholders, and experience organizing complex data into consumable data assets. In this role, you will be focusing on subscription analytics and product utilization insights and will partner with Product, Engineering, Customer Success, and Pricing to implement enhancements and build end-to-end customer subscription insights into new products.

Requirements

Experience in customer analytics, product analytics, and go-to-market analytics
Experience in SaaS business, Product domain as well as Salesforce
Proficiency in SQL, ETL tools, GitHub, and data integration technologies, including familiarity with data modeling techniques, database design, and query optimization.
Experience in “data” languages like R and Python. Knowledge of data processing frameworks like PySpark is also beneficial.
Experience working with cloud-based data solutions like AWS or Google Cloud Platform and cloud-based data warehousing tools like Snowflake.
Strong analytical and problem-solving skills to understand complex data problems and provide effective solutions.
Experience in building reports and visualizations to represent data in Tableau or Looker
Ability to effectively communicate with stakeholders, and work cross-functionally and communicate with technical and non-technical teams
Familiarity with SCRUM operating model and tracking work via a tool such as Jira
6+ years in data engineering, data warehousing, or business intelligence
BS in computer science, data science, statistics, mathematics, or a related field

Responsibilities

Engage with Product and Engineering to implement product definitions into subscription and product analytics, building new insights and updates to existing key data products
Analyze a variety of data sources, structures, and metadata and develop mapping, transformation rules, aggregations and ETL specifications
Configure scalable and reliable data pipelines to consume, integrate and analyze large volumes of complex data from different sources to support the growing needs of subscription and product analytics
Partner with internal stakeholders to understand user needs and implement user feedback, and develop reporting and dashboards focused on subscription analytics
Work closely with other Analytics team members to optimize data self service, reusability, performance, and ensure validity of source of truth
Enhance reusable knowledge of the models and metrics through documentation and use of the data catalog
Ensure data security and compliance by implementing appropriate data access controls, encryption, and auditing mechanisms.
Take ownership of successful completion for project activities

Nice to Have

Experience in data science, AI/ML concepts and techniques

What you can look forward to as a Full-Time Okta employee!

Amazing Benefits
Making Social Impact
Developing Talent and Fostering Connection + Community at Okta

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

","hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Data Engineer, Product Analytics","datePosted":"2025-08-09","description":"As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Engineer, Product Analytics Responsibilities

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact
Mentor team members by giving/receiving actionable feedback

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

Master's or Ph.D degree in a STEM field

About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv, Israel","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Data Engineer - Google Analytics","datePosted":"2025-08-07","description":"It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world.

A Little About Us:

The Yahoo! Consumer Data Team manages a petabyte warehouse to glean insights on Yahoo Media products and to improve the experience for its massive user base. The team interacts and works across multiple organizations at yahoo to grow user engagement and user experience across yahoo's product portfolio. Your work will directly influence product changes and you will work with some of the brightest engineers you have known to improve the user experience on yahoo properties and contribute to company growth. Along the way, you will solve problems for an Internet Pioneer that is hard to match in the industry.

Summary:

We are seeking a Data Engineer with hands-on experience in Google Cloud Platform (GCP) and Google Analytics business intelligence tools. In this role, you will support the design, development, and maintenance of data pipelines and analytics solutions, working closely with data scientists, analysts, and other stakeholders to ensure reliable, high-quality data for business insights. The ideal candidate will have experience working with GA4 data, integrating it with tools like BigQuery, and leveraging GA’s native reporting features to support business analysis and decision-making.

Responsibilities:

Build, test, and maintain data pipelines using GCP services such as BigQuery, Dataflow, and Cloud Storage.
Assist in designing and optimizing database schemas and data models for efficient storage and retrieval.
Ensure data quality, accuracy, and consistency by implementing validation checks and monitoring pipelines for errors.
Collaborate with team members to understand data requirements and deliver actionable insights using BI tools.
Support the development and automation of dashboards and reports to visualize key metrics and trends.
Troubleshoot data issues and contribute to the ongoing improvement of data infrastructure and processes.
Stay up-to-date with best practices and new features in GCP and Google Analytics.

Qualifications:

BS or MS in Computer Science or a related major, or equivalent experience
2+ years experience with Google Cloud Platform ecosystem (BigQuery, Dataproc, Composer, Dataflow, Data Catalog, Oberservability) or AWS equivalent.
Experience working with Google Analytics 4 (GA4) data, including familiarity with event-based data models, custom dimensions/metrics, and user journey analysis.
Proficiency in extracting and integrating Google Analytics data using tools such as BigQuery, the Google Analytics Reporting API, or GA4 Data Streams for downstream analysis and reporting.
Comfortable using GA4’s built-in reporting and exploration tools (e.g., Explore reports, funnel/path analysis) to perform ad hoc analyses, identify trends, and support business decision-making.
Familiarity with data modeling, ETL processes, and business intelligence (BI) reporting tools such as Google Analytics or Looker.
Strong preference for candidates with hands-on Google Analytics BI experience.
Strong attention to detail and problem-solving skills.
Good communication and teamwork abilities.

#LI-FM1

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.

The compensation for this position ranges from $111,000.00 - $231,250.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

Currently work for Yahoo? Please apply on our internal career site.

","hiringOrganization":{"@type":"Organization","name":"Yahoo","sameAs":"https://www.yahooinc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US - United States of America","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Data Engineer, Product Analytics","datePosted":"2025-08-13","description":"As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Engineer, Product Analytics Responsibilities

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact
Mentor team members by giving/receiving actionable feedback

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

Master's or Ph.D degree in a STEM field

About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland | London, UK","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Data Engineer, Marketing Analytics","datePosted":"2025-08-15","description":"

About Tubi:

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

About the Role:

As a Data Engineer at Tubi, you'll be instrumental in developing and maintaining robust data processing pipelines that underpin our reporting, analytics, and performance insights. You'll operate as an embedded data engineer within a specific data product vertical, shaping the culture, best practices, and overall approach to data engineering within the team. Our diverse product verticals, such as Viewer Growth, Ad Product Sales, and Marketing Analytics, are all highly data-driven.

In this role, you will also be responsible for supporting your vertical with data-related automation, mentoring junior engineers if need be, and contributing to the strategic direction of data engineering across the company. Each product team presents unique big data challenges, requiring you to be adaptable, curious, and possess a strong foundation in big data and engineering principles. Your responsibilities will span from constructing efficient pipelines and facilitating data access for data scientists and analysts to building specialized data products that empower non-engineering teams with deeper insights into their datasets.

Additional verticals with current openings;

Discovery & AI (Senior Data Engineer)
Viewer Growth (Senior Data Engineer)
Ad Product (Data Engineer)
Core Data Engineer (Data Engineer)

What You'll Do:

Be the primary owner of the data needs of a specific product vertical. That means everything from raw-data ingestion to end-user analysis
Build intuitive, easy-to-use, and high quality datasets using Spark and DBT
Track down data quality issues when they arise, and then set appropriate data quality monitors and alerts to help prevent future incidents
Participate in the occasional on-call rotation (12-hr shifts, ~1-2/month)
Understand your product vertical's datasets, with an ability to document and educate your team on how certain tables / fields are meant to be used
Be the liaison between your product vertical and the core data infrastructure team to make sure business needs are met in a computationally efficient manner

Your Background:

BSc/MSc in Computer Science or related field
4+ years of industry experience, at least 3 of which are in a data engineering (or data-centric software engineering) role
Track record of building and operating scalable, flexible, and always-on data pipelines
A desire and ability to truly understand and serve the business problems and use-cases you will be working with
Fluent in data manipulation and SQL
Strong knowledge of Spark, Python (libraries like pandas and polars, helpful)
Strong experience with Databricks (SQL Warehouses, Jobs Clusters, and Serverless)
Familiarity with DBT and Airflow in particular is helpful
Experience with cloud providers and cloud storage (AWS preferred)
Experience with efficiently working with datasets at TB scale
Service and data quality oriented
A passion for shipping production quality code with good test coverage
Ability to prioritize tasks and self-motivate without constant supervision

#LI-Hybrid

Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:

For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.
For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

","hiringOrganization":{"@type":"Organization","name":"Tubi","sameAs":"https://tubitv.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Canada (Hybrid)","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Data Engineer, People Analytics","datePosted":"2025-08-21","description":"OVERVIEW\n\n

We’re looking for a Data Engineer who’s excited to shape the backbone of our People Analytics function. This isn’t just about moving data around — it’s about designing smarter pipelines, strengthening the accuracy of our HR data platforms, and making sure the insights our teams rely on are fast, reliable, and actionable.

You’ll collaborate closely with Recruiting Ops and Business Technology, building the kind of infrastructure that helps us answer big questions about people, hiring, and growth. If you enjoy solving complex problems, streamlining messy systems, and turning data into a true strategic asset, we’d love to talk.

Contract position: 12 months starting in Sept 2025

Fully Remote, US only - no sponsorship or C2C permitted - must be W2 eligible without sponsorship

\n\n \nRESPONSIBILITIES\n\n

\n
Rebuild & Streamline Data Sources
Redesign core tables across platforms like Greenhouse and Workday to run faster, capture the right fields, and eliminate manual workarounds.
\n
\n
Design Scalable Pipelines
Partner with central data teams to stand up new pipelines for tools like Goodtime and Gem, making sure our analytics foundation grows alongside the business.
\n
\n
Raise the Accuracy Bar
Replace legacy code with clean, reliable sources that achieve a true 100% accuracy standard.
\n
\n
Solve Problems at the Root
Trace down the causes of manual data fixes and replace them with automated, permanent solutions.
\n
\n
Enable Smarter Reporting
Work closely with the Workday team to weave in critical identifiers (like Position IDs), building out sources that unlock richer, more strategic reporting.
\n
\n
Enhance People Data
Create logic that captures unique employee events (rehire, reneges, etc.) and add manager hierarchy fields to sharpen recruiting data sources.
\n
\n
Level Up Dashboards & Infrastructure
Rebuild Tableau data sources for speed, reliability, and functionality — ensuring the People Analytics team can deliver insights without depending on fragile, outdated systems.
\n

\n\n \nQUALIFICATIONS\n\n

5-7 yrs experience
Strong proficiency in SQL, Snowflake, Fivetran.
Experience with Greenhouse, Workday, Databricks, APIs, and Google Cloud Platform.
Working knowledge of data warehousing technologies such as Redshift and S3

\n\n \nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.","hiringOrganization":{"@type":"Organization","name":"Releady","sameAs":"https://www.releady.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Analytics Data Engineer, Applied Engineering","datePosted":"2025-08-03","description":"

About the team

The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the role:

We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!

In this role, you will:

Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
Implement robust and fault-tolerant systems for data ingestion and processing.
Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
Ensure the security, integrity, and compliance of data according to industry and company standards.

You might thrive in this role if you:

Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
Solid understanding of Spark and ability to write, debug and optimize Spark code.

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

","hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Sr Lead Analytics Data Engineer","datePosted":"2025-08-07","description":"

ADP is hiring a Sr. Lead Analytical Data Engineer for our newly formed HR Outsourcing (HRO) Data and Analytics organization. The Sr. Lead Analytical Data Engineer will play a key role in growing our newest chapter of analytics engineering professionals while interacting with cross-functional teams to address complex business requirements. We’re seeking a value seeking, self-motivated, and analytical profession who act as a player and coach to multiple workstreams at the same time. The role demands the individual to possess technical skills required to perform the job in an effective manner. The right candidate will be a technical expert, should have the passion for data & analytics and works along with the team they manage.

What are we looking for?

An analytics and data engineering professional with a passion and track record for designing analytics and delivery methods to increase accuracy of reporting and advanced analytics in an agile environment to unlock transformational growth. Someone with intellectual curiosity who wakes up excited to work with a team towards excellence and partner with leaders to drive business outcomes and deliver analytical solutions. The ideal candidate is business-minded, customer-centric, team-oriented, self-motivated, a strategic thinker and results-driven.

Like what you see? Apply now!
Learn more about ADP at tech.adp.com/careers
Learn more about Client Services at ADP: https://adp.careers/Client_Services_Videos

Behaviors:

Your role involves creating the Foundational data layer for HRO, making high quality data available for every user of our platform, but especially for data science and business intelligence applications and business analysts.
Support the enhancement of our data landscape. As a seasoned data engineer, you strive to contribute to the growth of the team and your own skills. You actively seek opportunities to share your knowledge and collaborate effectively with your colleagues to maintain a high level of productivity.
Customer-focused. You align data development with business objectives, working closely with key stakeholders in the business and analytics functions to collectively build valuable data.
Effective Communicator. You possess strong communication skills, both written and verbal, enabling you to convey data-related information to various team members and leadership. Your ability to articulate working plans and priorities within the team is an asset.
Deliver Results. You are proactive and hands-on, addressing potential issues and ensuring that tasks are completed with attention to detail. The end product you and your team produce is of high quality and thoroughly polished.
Continuous Improvement. You are committed to documenting existing analytics and automation processes and suggesting and implementing best practices to enhance efficiency and optimization.
Problem Solving. You are ready to tackle challenges as they arise and find effective solutions to overcome them.

Responsibilities:

Strategic Data Solution Development: Support the development of foundational data with a strategic outlook, focusing on the broader scope of building and enhancing domains within the semantic layer of HRO.
Documentation and Best Practices: Catalog existing analytics and automation processes and provide recommendations for best practice methods to optimize and improve these processes.
Collaborative Stakeholder Engagement:Collaborate closely with the Business Transformation & Data Analytics Leadership to execute project plans within a fast-paced agile development environment.
Data Engineering Expertise:Create foundational data by skillfully engineering critical elements from multiple data sources. Ensure the ingestion of HRO-specific data is well-structured, compliant with data quality standards, and traceable from the consumption layer back to the raw data layer.
Strategic Integration and Security: Partner with the Data Operations, Data Governance and Business Intelligence and Data Science teams to streamline data integration, maintain data security, and access best practices.
Technological Advancement: Conduct thorough research to identify and recommend cutting-edge technologies and processes that support rapid scaling and future growth initiatives.
Prioritization and Delivery: Assist the team in prioritizing business needs, leadership questions, and ad hoc requests to ensure on-time delivery and alignment with organizational goals.
Quality Assurance: Take the lead in driving quality assurance and data quality efforts to enhance development timelines, reduce bugs, and maintain the reliability of our data products.
Iterative Development: Bring your experience in developing v0.5 solutions, incorporating real-world feedback, and iterating to v1.0+ with a continuous improvement mindset.
Exceptional Delivery: Leverage your successful track record of superior delivery and change management within an enterprise organization to drive positive change and growth.

To succeed in this role:

Educational Background: Possess a bachelor’s degree in computer science, engineering, business, statistics, or related fields; advanced degrees are preferred but not mandatory.
Experience: Demonstrate a strong foundation in data analytics, engineering, and project management with a minimum of 10 years of hands-on experience in the implementation, development, improvement, and support of data-related projects.
Matrix Organization Experience: 3+ years of experience working in a matrix organization, where you have a product/pod leadership directing the team to achieve use case goals.
Data Expertise: Exhibit deep experience with ETL (Extract, Transform, Load), Data Modeling, and Data Architecture, highlighting your ability to design and maintain data solutions.
Problem-Solving Aptitude: Prove your ability to lead a team in leveraging data, analytics, and business acumen to address intricate business challenges.
Data Platform Experience: Possess hands-on experience with DataBricks, and technologies such as Hadoop, Spark. Demonstrate expertise in managing data housed in various relational databases.
Data Pipeline Proficiency: Showcase your competence in building data pipelines and deploying/maintaining them using tools like Git and Jenkins.
Data Analytics Skills: Demonstrate experience and expertise in data mining methods, data modeling, and working with data warehouses, showcasing your ability to extract valuable insights.
Technical Skills: Exhibit mastery in Pyspark and SQL, as well as an under

\nQualifications\n

Proficiency in DataBricks:Hands-on experience and strong technical knowledge with DataBricks, particularly focusing on Apache Spark fundamentals, including Spark Architecture, its API's, and how to leverage it for data processing and analysis. Proficiency in Pyspark/Python/SQL is essential for data manipulation, analysis, and transformation.
AWS Certification: AWS certification is highly desirable, reflecting your expertise in cloud technologies and services.
Framework Development: Experience in developing frameworks and utility services, including logging/monitoring is an asset, demonstrating your ability to create efficient and scalable solutions.
Programming Skills: Proficiency in UNIX and the Python programming language is essential, as it is fundamental for data engineering tasks.
Software Development Best Practices: Proven experience in delivering high-quality software following continuous delivery practices and using code quality tools such as JIRA, GitHub, and Jenkins is a strong advantage.
Data Storage Solutions: Comfort with a variety of data storage solutions, including RDBMS (e.g., Oracle), Hive, HBase, Impala, and other options, showcases your versatility in handling different data storage needs.
NoSQL Databases: Knowledge of NoSQL databases like MongoDB, HBase, Cassandra, etc., is a plus, highlighting your familiarity with a range of data storage technologies.
Project Management Tools: Familiarity with Jira and Confluence is preferred, as it facilitates effective project management and documentation.
Data Solutions Architecture: While not mandatory, experience as a data solutions architect is considered a significant advantage, demonstrating your ability to design comprehensive data solutions.
Cloud Database Technologies: Experience with cloud database technologies and the ability to develop solutions on cloud computing services and infrastructure in the data and analytics space is a valuable skill set.
PySpark Expertise: Comfort with using PySpark APIs to perform advanced data transformations is a key technical requirement.

YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:

Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to net out the best solution.
Deliver at epic scale. We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity.
Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.
Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.
Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation.
Join a company committed to equality and equity. Our goal is to impact lasting change through our actions.

What are you waiting for? Apply today!
Find out why people come to ADP and why they stay: https://youtu.be/ODb8lxBrxrY
(ADA version: https://youtu.be/IQjUCA8SOoA )

#LI-PP1

#LI-Hybrid

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Bedrijfsomschrijving

Als Data Engineer bij KPN binnen het CISO Reporting & Analytics team, werk je aan het versterken van de digitale weerbaarheid van de diensten van KPN voor miljoenen klanten. Je krijgt de kans om impact te maken met jouw technische expertise in een team waar innovatie en samenwerking centraal staat. Binnen dit team krijg je volop ruimte om te groeien, zowel professioneel als persoonlijk. De cultuur is open, informeel en gericht op kennisdeling. Je draagt bij aan de digitale veiligheid van miljoenen klanten – dat is pas betekenisvol werk.

Je komt terecht in een jong en multidisciplinair team van data engineers en PowerBI consultants. We spreken vloeiend T-SQL en soms zelfs sarcasme. Elke maandag werken we op kantoor in Hilversum of Amsterdam en is er een teamoverleg en gezamenlijke lunch.

Vacatureomschrijving

Als Data Engineer ben jij de drijvende kracht achter de verdere doorontwikkelen van de Security Watchtower. De Security Watchtower richt zich op het inzichtelijk maken van de performance van onze security & assurance processen binnen KPN. Dankzij jou kunnen we risico’s beter inschatten en strategische beslissingen nemen op basis van betrouwbare inzichten.

Integreren van diverse databronnen in een centrale omgeving
Optimaliseren van datakwaliteit en performance
Samenwerken met analisten en PowerBI Consultants voor het maken van de benodigde dashboards

Functie-eisen

Je bent proactief, analytisch sterk, nieuwsgierig en hebt een passie voor data en technologie. Je werkt gestructureerd, maar weet ook wanneer je moet improviseren. Communicatief ben je vaardig in het Nederlands en je schakelt makkelijk tussen techniek en business. Je bent een teamspeler die zelfstandig kan werken en initiatief toont. Om dit succesvol te kunnen doen heb je in ieder geval:

Minimaal 5 jaar werkervaring als Data Engineer
Ervaring met T-SQL en Apache Hop
Kennis van datamodellering en stored procedures
Ervaring met CI/CD en versiebeheer (Git)
Affiniteit met cybersecurity is een pré

Tik je niet alle bullets aan? We nodigen je alsnog van harte uit om te reageren.

Uitstekende beheersing van de Nederlandse taal in woord en geschrift is een must.
Voor deze vacature is geen relocation mogelijk.

Aanvullende informatie

Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:

Een bruto maandsalaris van maximaal € 8.865,- afhankelijk van je werkervaring en relevante kennis, op basis van 40 uur
Vaste 13e maand, een deel krijg je maandelijks uitbetaald en een deel in januari van het volgende jaar. Óf je zet het in voor een FLEX & BOOST doel naar keuze! Klik hier om er meer over te lezen
Jaarlijks een individuele en collectieve verhoging conform onze CAO
€ 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
Flexibele vrije dagen: onze collega’s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
Een goede werk-privé balans (zoals 2 dagen kantoor, 3 dagen thuis, transitieverlof, feestdagwissel naar een feestdag van jouw religieuze of culturele voorkeur)
Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon & laptop
50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen én streamen
Goede reiskostenvergoeding: je krijgt je OV kosten volledig vergoed of € 0,23 per kilometer als je met de auto reist. Kom je liever op de fiets? Dan kun je aanspraak maken op onze fietsvergoeding € 0,40 per kilometer
Mogelijkheid tot het aanschaffen van een leasefiets waar KPN maandelijks aan meebetaalt (bij onbepaalde tijd contract): Van stadsfiets tot e-bike en van racefiets tot speed-pedelec; jij kiest waar je op fietst
Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%

Ons geloof in technologie is groot. Dit wordt nóg krachtiger samen met menselijk contact, daarom ontmoeten we je graag!

Wil je meer weten? Neem contact op met onze recruiter Rutger Schröder via rutger.schroder@kpn.com

Bij KPN hebben we recruitmenttalent dat slim samenwerkt en zo wint. Daarom wordt acquisitie naar aanleiding van deze vacature niet gewaardeerd

","hiringOrganization":{"@type":"Organization","name":"KPN","sameAs":"https://www.kpn.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam, NH, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Data Engineer for Data & Analytics","datePosted":"2025-08-20","description":"

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

The Future Begins Here

At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.

Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.

At Takeda’s ICC we Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team

About the role:

As a Data Engineer, you will play an important role in supporting the design and implementation of data infrastructure and flow systems at Takeda. We are seeking an innovative and excited individual to aid in data collection and processing, allowing all business stakeholders to have access to data insights. In your role, you will collaborate closely with Data Engineer team members to help develop and maintain a robust data infrastructure, streamlining informed decision-making within Takeda. Your contributions will be integral to enhancing Takeda’s dashboards and reporting, providing actionable insights to stakeholders throughout the business.

In this role, you will be a part of ICC PDT Digital Analytics team. This team drives business insights to analyse and interpret the organization’s data with the purpose of drawing conclusions about information and trends. This role will work closely with the Senior Data Engineers on executing complex tasks. This role will also align to the Data & Analytics chapter of the ICC as a competency.

This position will report to the Data Engineer lead for direction and Day-to-day management.

How you will contribute:

Support the development and maintenance of data architecture and pipelines.
Support the standardization, customization, and ad hoc data analysis by developing mechanisms that analyze and clean data.
Utilize AWS technologies to build new integrations for increased data source, volume, and complexity.
Outline data requirements for gathering and mining large-scale data.
Support the implementation processes that drive data reconciliation and quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes.
Participate in the evaluation, implementation, and deployment of emerging tools for analytic data engineering to improve productivity.
Coordinate with Senior Data Engineers to write unit, integration, and performance test scripts that perform data analysis.
Support Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives.
Collaborate with Senior Data Engineers and Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.

Minimum Requirements/Qualifications:

Bachelor’s Degree in Engineering, Computer Science, Data Science, or related field.
3-5 year of experience in software development, data science, data engineering, ETL, and analytics reporting development
Knowledge of designing, building, implementing, and maintaining data and system integrations, understand software being leveraged
Demonstrated understanding and experience using:
- Data Engineering Programming Languages (i.e., Python, SQL)
- Distributed Data Framework (e.g., Spark)
- Cloud platform services (AWS/ Azure preferred)
- Relational Databases (Postgres/ SQL server)
- DevOps and continuous integration
- AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services
- Knowledge of Data lakes, Data warehouses
- Databricks/Delta Lakehouse architecture
- Code management platforms like Github/ Gitlab/ etc.,
- Job orchestration tools like Tidal/ Airflow
Understanding of database architecture and administration
Knowledge of the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases
Proficient written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
Willingness to learn and collaborate with Senior and Mid-Level Data Engineers
Strong problem solving and attention to detail skills
Ability to work in a fast-paced environment

Preferred skillsets

Experience working in a global environment
Ability to support Senior Data Engineers in designing and implementing complex data solutions
Demonstrated understanding and experience using:
- Knowledge in CDK
- Experience in IICS Data Integration tool
- Job orchestration tools like Tidal/Airflow/ or similar
- Knowledge on No SQL
Proficiency in leveraging the Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous.
Databricks Certified Data Engineer Associate and/or AWS Certified Data Engineer

BENEFITS:

It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:

Competitive Salary + Performance Annual Bonus
Flexible work environment, including hybrid working
Comprehensive Healthcare Insurance Plans for self, spouse, and children
Group Term Life Insurance and Group Accident Insurance programs
Employee Assistance Program
Broad Variety of learning platforms
Diversity, Equity, and Inclusion Programs
Reimbursements – Home Internet & Mobile Phone
Employee Referral Program
Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)

ABOUT ICC IN TAKEDA:

Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.
As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

#Li-Hybrid

Locations

IND - Bengaluru

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time","hiringOrganization":{"@type":"Organization","name":"Takeda","sameAs":"https://www.takeda.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND - Bengaluru, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Data Engineer - Business Insights & Analytics","datePosted":"2025-08-19","description":"

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Eli Lilly Services India Pvt Ltd

Business Insights & Analytics Team: Data Engineer

The purpose of the LCCI Business Insights & Analytics team is to partner with US Business Insights & Analytics in providing high quality analytical support to Brand, Market Research and other internal partners through right data, smart analytics and actionable insights. Our team will be responsible for setting up the data warehouses necessary to handle large volumes of data, create meaningful analyses, and deliver recommendations to leadership.

As part of the LCCI team, we are excited to offer the role of Data Engineer who will be an integral part of the Business Insights and Analytics team.

Core Responsibilities

Create and maintain optimal data pipeline architecture ETL/ ELT into Structured data
Assemble large, complex data sets that meet functional / non-functional business requirements and create and maintain Multi-Dimensional modelling like Star Schema and Snowflake Schema, normalization, de-normalization, joining of datasets.
Expert level experience creating Fact tables, Dimensional tables and ingest datasets into Cloud based tools. Job Scheduling, automation experience is must.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Setup and maintain data ingestion, streaming, scheduling and job monitoring automation. Connectivity between Lambda, Glue, S3, Redshift, Power BI needs to be maintained for uninterrupted automation.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and “big data” technologies like AWS and Google
Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency and other key business performance metrics
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

Required

5-7 years of in-depth hands-on experience in data warehousing Redshift or any OLAP to support business/data analytics, business intelligence (BI)
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and Cloud Data warehouse like Redshift
Data Model development, additional Dims and Facts creation and creating views and procedures, enable programmability to facilitate Automation
Prior Data Modelling, OLAP cube modelling in SQL Server, SSAS and Power BI experience
Experience with Redshift and OLAP systems is must. GLUE pipeline skill is must
Data compression into PARQUET to improve processing and finetuning SQL programming skills required
Experience building and optimizing “big data” data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with structured and unstructured datasets
Experience with manipulating, processing and extracting value from large disconnected unrelated datasets
Working knowledge of message queuing, stream processing, and highly scalable “big data” stores
Experience supporting and working with cross-functional teams and Global IT
Familiarity of working in an agile based working models

Preferred Qualifications/Expertise

Experience with relational SQL and NoSQL databases, including AWS Redshift, Postgres and Cassandra
Experience with AWS cloud services Preferable: S3, EC2, EMR, RDS, Sage Maker
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, R, C++ Scala, etc.
Working knowledge of Databricks Platform

Education:

Bachelor’s or master’s degree on Technology and Computer Science background

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly

","hiringOrganization":{"@type":"Organization","name":"Eli Lilly and Company","sameAs":"https://www.lilly.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN: Bengaluru - LCCI, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Reporting & Analytics)","datePosted":"2025-08-19","description":"Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential of the world’s top athletes.
Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance scientists, product and software designers and engineers.
Kitman Labs’ advanced operating system, the Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women’s Soccer League and MLS.
The Role
We are seeking an experienced and highly skilled Senior Data Engineer to play a pivotal role in the evolution of our analytics platform. This mission-critical project involves augmenting our in-house platform with cutting-edge data engineering technologies on Google Cloud Platform (GCP) to achieve new levels of scale and performance, complemented by Looker for best-in-class visualization and analysis.
This role will be central to this transformation, working within the team to architect and build the data foundation for our next generation of analytics. This position is ideal for an engineer who thrives on complex data challenges, including designing robust data models, implementing near real-time data replication using Change Data Capture (CDC), and building highly performant and scalable data transformation pipelines to handle complex business calculations across large datasets (over 300 million data points per customer).
As a senior team member, you will drive data architecture and best practices, ensuring our new platform is performant, reliable, and capable of delivering the dynamic, insightful reporting our clients depend on.

\n

What you'll be responsible for

Driving Data Architecture: Design and build a scalable, end-to-end data architecture on GCP. This includes creating robust and efficient data models in our data warehouse, defining data flows, and ensuring the infrastructure is optimised for high-volume, near real-time data processing.

Building & Optimising Data Pipelines: Develop, deploy, and manage resilient data pipelines for large-scale data ingestion and transformation. You will be hands-on with GCP DataStream to implement CDC and orchestrate complex SQL-based transformation workflows with Dataform.

Solving Complex Data Challenges: Tackle and resolve complex performance bottlenecks across the entire data stack. This involves optimising intricate calculations, tuning database performance, and ensuring the efficiency of our data models to support low-latency queries from Looker.

Upholding Data Quality & Integrity: Champion and implement best practices for data quality, testing, and governance. You will establish robust data validation checks and build out CI/CD pipelines for all data processes to ensure the accuracy and reliability of our reporting.

Technical Leadership & Mentoring: Provide technical guidance and mentorship to other engineers on data engineering best practices. You will lead technical decisions, evaluate trade-offs, and foster a culture of data excellence within the squad.

Stakeholder Collaboration: Work in close partnership with product managers and front-end engineers to deeply understand user requirements and translate them into effective data solutions that power our embedded analytics features.

Experience and skills we look for

Proven Experience in Data Engineering: A strong track record of designing, building, and optimising data-intensive systems and large-scale ETL/ELT pipelines.

Expertise in the Modern Data Stack: Deep, hands-on experience with cloud-based data platforms, with a strong preference for Google Cloud Platform (GCP). AWS knowledge a plus, but not essential.

Specialised GCP Skillset: Demonstrable, practical experience using GCP Datastream (or similar technology) for Change Data Capture (CDC) and Dataform (or similar tools) for developing and managing data transformations. Proficiency with BigQuery is essential.

Strong Data Modeling Skills: Extensive experience designing and implementing data models (e.g., dimensional modeling, data vault) optimised for analytical workloads and BI tools.

Advanced SQL & Programming: Expertise in advanced SQL for complex data manipulation and analysis, coupled with proficiency in a programming language like Python for automation and scripting.

Performance Tuning & Optimisation: A proven ability to diagnose and resolve performance issues within data pipelines and databases. You understand query optimisation, indexing, and partitioning strategies.

Additional Skills that set you apart

BI & Data Visualisation: Experience working with modern business intelligence tools, with specific experience using or building solutions for Looker.

Complex Calculations: Experience in environments that require translating complex business logic or financial calculations into accurate and performant SQL.

Secure Cloud Environments: Experience working with data services in highly secure or compliant environments is a plus.

CI/CD for Data: A solid understanding of CI/CD principles and tools (e.g., Git, Jenkins, GitLab CI) applied to data pipelines and infrastructure-as-code (Terraform familiarity a plus).

BenefitsAt Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture.We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this:
- Competitive salary- Meaningful equity- Pension Plan- Fully paid health insurance for employee & dependants - Life Assurance - Wellness Perk- Flexible workplace with options for office-based, hybrid and remote working
LocationWhilst remote, you can work from our Dublin office, which is located in the impressive CHQ Building, a 2 minute walk from Connolly train station, and very close to all major bus routes and both Luas lines. We're also on the doorstep of many shops, restaurants, bars & cafes.
DiversityIn addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know.
You can find information about how we process, share and keep your personal data safe by reading our privacy policy","hiringOrganization":{"@type":"Organization","name":"Kitman Labs","sameAs":"https://www.kitmanlabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Reporting & Analytics)","datePosted":"2025-08-19","description":"Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes.
Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world.
Kitman Labs’ advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey.
The Role
We are seeking an experienced and highly skilled Senior Data Engineer to play a pivotal role in the evolution of our analytics platform. This mission-critical project involves augmenting our in-house platform with cutting-edge data engineering technologies on Google Cloud Platform (GCP) to achieve new levels of scale and performance, complemented by Looker for best-in-class visualization and analysis.
This role will be central to this transformation, working within the team to architect and build the data foundation for our next generation of analytics. This position is ideal for an engineer who thrives on complex data challenges, including designing robust data models, implementing near real-time data replication using Change Data Capture (CDC), and building highly performant and scalable data transformation pipelines to handle complex business calculations across large datasets (over 300 million data points per customer).
As a senior team member, you will drive data architecture and best practices, ensuring our new platform is performant, reliable, and capable of delivering the dynamic, insightful reporting our clients depend on.

\n

What you'll be responsible for

Driving Data Architecture: Design and build a scalable, end-to-end data architecture on GCP. This includes creating robust and efficient data models in our data warehouse, defining data flows, and ensuring the infrastructure is optimised for high-volume, near real-time data processing.

Building & Optimising Data Pipelines: Develop, deploy, and manage resilient data pipelines for large-scale data ingestion and transformation. You will be hands-on with GCP DataStream to implement CDC and orchestrate complex SQL-based transformation workflows with Dataform.

Solving Complex Data Challenges: Tackle and resolve complex performance bottlenecks across the entire data stack. This involves optimising intricate calculations, tuning database performance, and ensuring the efficiency of our data models to support low-latency queries from Looker.

Upholding Data Quality & Integrity: Champion and implement best practices for data quality, testing, and governance. You will establish robust data validation checks and build out CI/CD pipelines for all data processes to ensure the accuracy and reliability of our reporting.

Technical Leadership & Mentoring: Provide technical guidance and mentorship to other engineers on data engineering best practices. You will lead technical decisions, evaluate trade-offs, and foster a culture of data excellence within the squad.

Stakeholder Collaboration: Work in close partnership with product managers and front-end engineers to deeply understand user requirements and translate them into effective data solutions that power our embedded analytics features.

Experience and skills we look for

Proven Experience in Data Engineering: A strong track record of designing, building, and optimising data-intensive systems and large-scale ETL/ELT pipelines.

Expertise in the Modern Data Stack: Deep, hands-on experience with cloud-based data platforms, with a strong preference for Google Cloud Platform (GCP). AWS knowledge a plus, but not essential.

Specialised GCP Skillset: Demonstrable, practical experience using GCP Datastream (or similar technology) for Change Data Capture (CDC) and Dataform (or similar tools) for developing and managing data transformations. Proficiency with BigQuery is essential.

Strong Data Modeling Skills: Extensive experience designing and implementing data models (e.g., dimensional modeling, data vault) optimised for analytical workloads and BI tools.

Advanced SQL & Programming: Expertise in advanced SQL for complex data manipulation and analysis, coupled with proficiency in a programming language like Python for automation and scripting.

Performance Tuning & Optimisation: A proven ability to diagnose and resolve performance issues within data pipelines and databases. You understand query optimisation, indexing, and partitioning strategies.

Additional Skills that set you apart

BI & Data Visualisation: Experience working with modern business intelligence tools, with specific experience using or building solutions for Looker.

Complex Calculations: Experience in environments that require translating complex business logic or financial calculations into accurate and performant SQL.

Secure Cloud Environments: Experience working with data services in highly secure or compliant environments is a plus.

CI/CD for Data: A solid understanding of CI/CD principles and tools (e.g., Git, Jenkins, GitLab CI) applied to data pipelines and infrastructure-as-code (Terraform familiarity a plus).

Benefits
At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture.We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this:- Competitive salary- Health insurance for employee & dependants - Meaningful equity- Pension Plan- Life Cover- Income protection- Wellbeing benefits
Location
While this role allows for remote work, occasional face-to-face-gatherings are recommended.
Diversity
In addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know.
You can find information about how we process, share and keep your personal data safe by reading our privacy policy","hiringOrganization":{"@type":"Organization","name":"Kitman Labs","sameAs":"https://www.kitmanlabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Greater Manchester, England, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Lead Data Engineer - Reporting & Analytics","datePosted":"2025-08-22","description":"

About this role:

Wells Fargo is seeking a Lead Data Engineer who will support applications that are used by Wells Fargo's 270,000+ employees, over 1 million external job seekers, and more than 4,000 HR professionals. This role will be responsible for acting as a lead in the Human Resources Data, Reporting & Analytics team.

The Enterprise Functions Technology (EFT) group provides technology solutions and support for Risk, Audit, Finance, Marketing, Human Resources, Corporate Properties, and Stakeholder Relations business lines. In addition, EFT provides unique technology solutions and innovation for Wells Fargo Technology, Enterprise Shared Services, and Enterprise Data Management. This combined portfolio of applications and tools are continually engineered to meet the challenges of stability, security, scalability, and speed.

Human Resources Information Technology (HRIT) team provides technology support for team member focused applications and processes, including payroll, benefits, learning and recruiting.

In this role, you will:

Act as the technical lead for reporting and analytics solutions in HRIT Data Engineering, including leading our work to implement and adopt Microsoft Fabric - including establish best practices for engineers on the team, leading the Fabric community of practice in HR & HRIT and mentoring other engineers.
Collaborate heavily with our business partners in HR Data and Reporting to develop solutions to support business intelligence products, semantic models, ad-hoc analytics and data science initiatives.
Be a collaborative and contributing member of the HRIT Data Engineering leadership team
Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Technology area
Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership
Review and analyze complex software enhancement initiatives for business, operational or technical improvements that require in depth evaluation of multiple factors including intangibles or unprecedented factors
Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change
Strategically collaborate and consult with internal partners to resolve highly risky data engineering challenges

Required Qualifications:

5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

2+ years of Microsoft Fabric experience
5+ years of data warehouse / large data store experience
5+ years of data-centric solution design
5+ years of experience with BI tools such as Tableau and Power BI
Experience with Human Resources (HR) data
Experience with AI, preferrable Microsoft Copilot and Github Copilot
Experience with metadata and associated tooling, especially Microsoft Purview

Job Expectations:

Willingness to work on-site at stated location on the job opening
This position offers a hybrid work schedule
This position is not eligible for Visa sponsorship

Posting End Date:

28 Aug 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

","hiringOrganization":{"@type":"Organization","name":"Wells Fargo","sameAs":"https://www.wellsfargo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"141278-NC-CIC Customer Information Ctr, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Sr. Data Engineer Ops Data Analytics","datePosted":"2025-08-04","description":"

Who we are?

Johnson Controls is the global leader for smart, healthy and sustainable buildings. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.

This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. We’re helping to create a healthy planet with solutions that decrease energy use, reduce waste and make carbon neutrality a reality. Sustainability is a top priority for our company.

We committed to invest 75 percent of new product development R&D in climate-related innovation to develop sustainable products and services. We take sustainability seriously. Achieving net zero carbon emissions before 2040 is just one of our commitments to making the world a better place.

Please visit and follow Johnson Controls LinkedIn for recent exciting activities.

Why JCI: https://www.youtube.com/watch?v=nrbigjbpxkg

Asia-Pacific LinkedIn: https://www.linkedin.com/showcase/johnson-controls-asia-pacific/posts/?feedView=all

Career: The Power Behind Your Mission

OpenBlue: This is How a Space Comes Alive

What will you do?

Solution Architecture Design: Design scalable and efficient data architectures using Snowflake that meet business needs and best practices
Implementation: Lead the deployment of Snowflake solutions, including data ingestion, transformation, and visualization processes
Data Governance & Security: Ensuring compliance with global data regulations in accordance with the data strategy and cybersecurity initiatives
Collaboration: Work closely with data engineers, data scientists, and business stakeholders to gather requirements and provide technical guidance
Optimization: Monitor and optimize performance, storage, and cost of Snowflake environments, implementing best practices for data modeling and querying
Integration: Integrate Snowflake with other cloud services and tools (e.g., ETL/ELT tools, BI tools, data lakes) to create seamless data workflows
Documentation: Create and maintain documentation for architecture designs, data models, and operational procedures
Training and Support: Provide training and support to teams on Snowflake usage and best practices
Troubleshooting: Identify and resolve issues related to Snowflake performance, security, and data integrity
Stay Updated: Keep abreast of Snowflake updates, new features, and industry trends to continually enhance solutions and methodologies
Assist Data Architects in implementing Snowflake-based data warehouse solutions to support advanced analytics and reporting use cases

Requirement & Qualification:

Minimum: Bachelor’s / Postgraduate/ Master’s Degree in any stream
Minimum 8 years of relevant experience as Solutions Architect, Data Architect, or similar role
Knowledge of Snowflake Data warehouse and understanding the concepts of data warehousing including ELT, ETL processes and data modelling
Understanding of cloud platforms (AWS, Azure, GCP) and their integration with Snowflake
Competency in data preparation and/or ETL tools to build and maintain data pipelines and flows
Strong knowledge of databases, stored procedures(SPs) and optimization of large data sets
SQL, Power BI/Tableau is mandatory along with knowledge of any data integration tool
Excellent communication and collaboration skills
Strong problem-solving abilities and analytical mindset
Ability to work in a fast-paced, dynamic environment

What we offer:

We offer an exciting and challenging position. Joining us you will become part of a leading global multi-industrial corporation defined by its stimulating work environment and job satisfaction. In addition, we offer outstanding career development opportunities which will stretch your abilities and channel your talents

Diversity & Inclusion Our dedication to diversity and inclusion starts with our values. We lead with integrity and purpose, focusing on the future and aligning with our customers’ vision for success. Our High-Performance Culture ensures that we have the best talent that is highly engaged and eager to innovate.  Our D&I mission elevates each employee’s responsibility to contribute to our culture. It’s through these contributions that we’ll drive the mindsets and behaviors we need to power our customers’ missions. You have the power. You have the voice. You have the culture in your hands.

","hiringOrganization":{"@type":"Organization","name":"Johnson Controls","sameAs":"https://www.johnsoncontrols.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurgaon Sector 59, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Analytics Solutions Associate Senior - Data Engineer","datePosted":"2025-08-06","description":"

Join our team to elevate your data engineering career with cutting-edge cloud technologies.

As an Analytics Solutions Associate Senior within the Data and Analytics team, you will design, develop, and maintain data solutions on the cloud platform, leveraging your expertise in Alteryx, Snowflake, Python, SQL, Spark, and Tableau to build efficient and scalable data pipelines and applications.

Job Responsibilities

Design, develop, test, deploy, and maintain data pipelines on the Python ecosystem.
Connect with US stakeholders to understand requirements and create project plans.
Design end-to-end solutions for projects with documentation.
Write, optimize, and troubleshoot complex Snowpark and SQL code.
Integrate databases with various data sources and third-party tools (e.g., Alteryx, Airflow).
Utilize AWS services like S3 for data storage and Lambda for serverless functions.
Design and implement data models for efficient data storage and retrieval.

Required Qualifications, Capabilities, and Skills

Formal training or certification on data engineering concepts and 3+ years applied experience.
Expertise in SQL, Python, and Spark.
Experience with cloud technologies like AWS S3 and Lambda.
Experience with data integration tools like Alteryx or Airflow.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.

Preferred Qualifications, Capabilities, and Skills

Banking domain knowledge is a plus.

\n\n

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

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

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai, Maharashtra, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Data Engineer, Enterprise Analytics and A.I.","datePosted":"2025-08-22","description":"

Invenergy drives innovation in energy. Powered by decades of entrepreneurial experience and unparalleled execution, we solve the energy challenges facing our customers and communities. We provide power generation and storage solutions at scale around the world to create a cleaner energy future. We develop. We build. We own. We operate. We are Invenergy.

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.

Job Description

Position Overview

As a Data Engineer on Invenergy’s Enterprise Analytics & AI team, you will play a key role in designing, building, and optimizing the data infrastructure that powers enterprise-wide analytics and AI solutions. This role is essential to enabling efficient, reliable, and secure access to data for business users, data scientists, and application developers. As a member of the team, you will collaborate with internal stakeholders and technology teams to implement modern data architecture, streamline data workflows, and support the deployment of scalable machine learning models.

Core Responsibilities

Work with domain experts across the organization to develop data pipelines and ETL processes to ingest, transform, and curate data from various structured and unstructured sources to support the efforts of the Enterprise Business Analysts and Data Scientists.
Build and optimize data architecture and processes to support advanced analytics and AI use cases.
Build automated workflows to reduce manual work and improve efficiency
Collaborate with data scientists and business analysts to ensure the availability, quality, and usability of data for modeling and reporting.
Establish and enforce data governance, security, and privacy standards in collaboration with IT and compliance teams.
Evaluate and adopt emerging technologies to enhance Invenergy’s enterprise data platform and analytics capabilities.
Effectively communicate technical data concepts to non-technical audiences.
Navigate a variety of stakeholders and competing priorities. Right-size solutions based on the need and priority of the task.

Required Skills

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
4+ years of experience in data engineering, software engineering, or related roles with demonstrated success in production-level data systems; or an advanced degree with 2+ years of directly relevant experience.
Proficiency in SQL and working with relational databases (e.g., PostgreSQL, SQL Server).
Experience with Python or another high-level programming language for scalable data processing and applying software engineering principles.
Experience with Microsoft Power Platform and Integration tools.
Experience with ingesting data through third party APIs.
Experience with cloud data platforms, preferably Azure and Paas Instances.
Familiarity with Databricks environment.
Strong understanding of modern data architecture and tools.
Experience with version control, CI/CD, and infrastructure automation tools.
Solid knowledge of data security, quality, and lifecycle management practices.
Eligible to work in the United States without the need for employer visa sponsorship now or in the future.

Preferred Skills

Experience supporting AI/ML workflows, including feature engineering, data labeling, and model serving infrastructure.
Proficiency with data cataloging and metadata management tools.
Exposure to data mesh, data fabric, or event-driven architectures.
Experience working in agile development environments and collaborating with cross-functional teams.
Knowledge of compliance frameworks related to data management.
Familiarity with the energy sector.
Experience on enterprise-wide data team.

Base Pay

$90,000.00 - $115,000.00 USD Annual
Bonus: 10% - 25%

The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.

In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.

Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, profit sharing, paid time off, etc.

Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

","hiringOrganization":{"@type":"Organization","name":"Invenergy","sameAs":"https://www.invenergy.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago - OSW, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Data Engineer/ Data Visualization & Analytics Expert","datePosted":"2025-08-22","description":"

Job Description

Job Title: Data Engineer/ Data Visualization & Analytics Expert

Location: Pisa, Italy

About the role:

As a Data Engineering / Data Visualization & Analytics expert, you will collaborate with a diverse Agile team to build high-quality data pipelines that create analytic solutions. You will focus on generating insights from connected data, ensuring advanced data-driven decision-making capabilities. You will build and maintain data systems and constructing datasets that are optimized for analysis, supporting Business Intelligence requirements and downstream systems. You will report to the DD&T Lead.

How you will contribute:

Background in data engineering and data visualization along with experience in Agile project management methodologies.
Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
Perform data manipulation and queries using SQL independently.
Develop scripts and applications in Python for complex data processing needs.
Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
Advise, consult and coach other data and analytic professionals on data standards and practices.
Create advanced data visualizations and dashboards in Tableau or in PowerBI.
Apply machine learning techniques to predict outcomes and increase business processes.
Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
Occasionally lead small project teams and provide informal guidance to junior staff.

What you bring to Takeda:

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
Experience (2+ years) as a Data Engineer and/or Data Visualization & Analytics Expert.
Experience of SQL, implementing complex queries and managing databases.
Proficient in programming languages such as Python, Scala, Java, and C++, tailored for scalable data engineering solutions.
Expertise in data visualization tools (Power BI, Qlik, etc.).
Apply advanced techniques in data engineering and modeling, lead programs and mentoring others.
Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
Demonstrate expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
Experience with distributed data technologies like Spark and Hadoop, improving large-scale data processing and analytics.
Experienced in system integration, ensuring seamless data flow and functionality across multiple platforms.
Expertise in deploying and managing applications on cloud platforms using tools like Kubernetes, enhancing scalability and reliability.
Analytical skills, able to transform data into applicable insights that move decision-making.
Leadership capabilities, able to guide and inspire junior engineers, promoting a collaborative and work environment.
Can solve a range of moderate scope and complexity problems, occasionally referring to policies and practices for guidance.
Analyze situations and data, exercising judgment within established procedures, and fostering productive relationships internally and externally.

More about us:

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Empowering our people to shine:

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.

Locations

ITA - RietiITA - Pisa

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time","hiringOrganization":{"@type":"Organization","name":"Takeda","sameAs":"https://www.takeda.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"ITA - Rieti, Italy","addressCountry":"Italy","addressRegion":"Europe"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Commercial Analytics and Data Engineer – P3 (Onsite)","datePosted":"2025-07-16","description":"

Date Posted:

2025-07-15

Country:

United States of America

Location:

PW100: East Hartford 400 Main Street, East Hartford, CT, 06118 USA

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance:

None/Not Required

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious.

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

What You Will Do

Control & Diagnostic Systems (CDS) is a dynamic engineering organization focused on the development and certification of military and, commercial and industrial gas turbine engine control, and diagnostic systems. CDS is responsible for all aspects of Pratt & Whitney engine control and diagnostic system development including requirements analysis & definition, system & software architecture, algorithm design, and product software design, verification & validation.  We integrate the control and diagnostic system design across other engine system modules and with the air vehicles and provide support throughout the complete engine product life cycle.

The Diagnostics, Prognostics & Health Management (DPHM) discipline within CDS is responsible for the development and deployment of cutting-edge data acquisition systems, diagnostics, prognostics, and analytics. This includes Usage Based Lifing (UBL) for P&W engines and components and deploying state of the art development tools & methodologies.

In this role, we are seeking an analytics and data engineer to be a member of DPHM’s Commercial Analytics and Data Engineering team.

The team develops the systems that ingest aircraft and flight data, the tools to access and analyze it, and the analytics which provide critical results and alerts to keep the fleet flying as smoothly as possible.

The team provides a solid framework for downstream engineers, data scientists, and analysts to work in so that they can focus on analyzing the data and solving physical problems, instead of becoming mired in data wrangling. Collaborating closely with downstream teams is essential to developing the best next generation tools, algorithms, and analytics for commercial applications.

The position is based at the P&W East Hartford facility and is an onsite role.

Key Responsibilities:

Analytics development using statistical analysis, physics-based models, and artificial intelligence efforts applied to operational fleet data.
Deploying algorithms to customer facing systems to drive engine maintenance and improve fleet health.
Integrating external or new datasets into existing data pipelines.
Controls software improvements and development for health monitoring functions and algorithms.
Continuously monitoring and testing the system to ensure optimized performance.

Qualifications You Must Have:

Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM)
5 years of experience in engineering with a bachelor’s degree or 3 years with an advanced degree
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Qualifications We Prefer:

Proficiency with Python, AWS Services, CI/CD, Elasticsearch / OpenSearch, SQL, Apache Spark
Knowledge of gas turbine engines and their operation.
Knowledge of and exposure to aerospace control and diagnostic systems.
Familiarity with modern data analysis and signal processing techniques.

What We Offer

Benefits
Relocation Assistance

Learn More & Apply Now!

Controls & Diagnostics Systems (CDS)

CDS develops complex, cyber-resilient control systems and software for commercial and military engines including power and thermal management Systems and auxiliary power units. CDS also develops advanced diagnostic & health management systems to monitor our products, forecast events and help facilitate MRO operations. With growing emphasis on sustainability, CDS is on the forefront of system development for hybrid and electric propulsion.

What is my role type?

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

The salary range for this role is 82,000 USD - 164,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

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Date Posted:

2025-07-15

Country:

United States of America

Location:

PW100: East Hartford 400 Main Street, East Hartford, CT, 06118 USA

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance:

None/Not Required

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

What You Will Do

In this role, we are seeking an analytics and data engineer to be a member of DPHM’s Commercial Analytics and Data Engineering team.

The position is based at the P&W East Hartford facility and is an onsite role.

Key Responsibilities:

Analytics development using statistical analysis, physics-based models, and artificial intelligence efforts applied to operational fleet data.
Deploying algorithms to customer facing systems to drive engine maintenance and improve fleet health.
Integrating external or new datasets into existing data pipelines.
Controls software improvements and development for health monitoring functions and algorithms.
Continuously monitoring and testing the system to ensure optimized performance.

Qualifications You Must Have:

Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM)
2 years of experience in engineering with a bachelor’s degree or an advanced degree
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Qualifications We Prefer:

Proficiency with Python, AWS Services, CI/CD, Elasticsearch / OpenSearch, SQL, Apache Spark
Knowledge of gas turbine engines and their operation.
Knowledge of and exposure to aerospace control and diagnostic systems.
Familiarity with modern data analysis and signal processing techniques.

What We Offer

Benefits
Relocation Assistance

Learn More & Apply Now!

Controls & Diagnostics Systems (CDS)

What is my role type?

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.

The salary range for this role is 66,000 USD - 130,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

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At Riot, Data Engineers play a critical role in transforming data into actionable insights that drive decisions across the company. Our engineers are deeply player-focused and collaborate across diverse teams to enhance the experiences of millions of players worldwide.

As a Principal Data Engineer within 2XKO, you will be shaping the direction of the game by working with designers, product managers, analysts, and engineers using data to better serve and understand our game and our players. This role is designed for an engineer who thrives in ambiguous environments, takes initiative to solve real problems quickly, and enjoys wearing multiple hats. As the senior-most data leader on the game team, you will influence how data is managed across 2XKO. You will join a multidisciplinary data team, mentoring more junior engineers and setting technical direction not only on the team but across the studio as well. This role is based in Los Angeles.

Responsibilities

Design and optimize scalable ETL pipelines for structured and semi-structured data to support Insights use cases, including independently coding and providing optimizations where applicable.
Architect and implement robust, maintainable, and high-performance data solutions.
Collaborate directly with multiple game teams from the early stages of game development to instrument games and ensure proper data collection.
Own and manage data pipelines and infrastructure across 2XKO.
Standardize best practices for instrumentation, telemetry, and metrics collection
Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
Mentor data practitioners across all levels, setting best practices and fostering technical growth.
Automate workflows to reduce manual intervention and enhance data processing efficiency.
Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities.
Support cost optimization by ensuring scalable and efficient data solutions.
Be a leader within Riot’s Data Engineering discipline shaping infrastructure, craft standards, tooling, and organizational best practices.

Required Qualifications

Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
8+ years experience in data engineering or a related field.
Hands-on expertise in big-data technologies, particularly the Apache stack.
2+ years experience working with DBT in a production environment
Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
Demonstrated ability to work cross-functionally with engineering, analytics, and product teams.
Experience mentoring and guiding other engineers.

Desired Qualifications

2+ years of experience in data engineering for major video game titles.
Experience using analytics to drive gameplay and feature changes (ideally from game dev through launch)
Experience working in close partnership with data analysts or product managers.
Close personal relationship with games - enjoys gaming as a hobby, plays a variety of genres, and goes deep in several

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

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About Faire

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.

The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.
The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time from data to insights.

The teams focus on the following areas and capabilities:

Cost-efficient storage for batch and streaming across multiple compute engines
Optimized compute environments and workflow orchestration
ETL (extract, transform, load) and ELT (extract, load, transform) pipelines
Data ingestion and warehousing
Monitoring, alerting, and cost tracking for workloads
Automation of analytics functions
Data security, privacy, and governance

The teams also own relationships with select infrastructure vendors.

We’re looking for: An experienced engineer with data and analytics experience to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization.

What you’ll do

Plan and execute on technology projects that scale with our growth; contribute to our architecture with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
Provide technical guidance and mentorship on difficult open-ended problems.

Qualifications

Strong Python skills and experience.
Experience developing and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems
Experience building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows
Data warehousing experience at Petabyte scale
Understanding of performance, capacity, cost trade-offs in data processing systems.
Snowflake experience especially valuable.
Experience diagnosing, mitigating, and permanently addressing data system production issues at scale
Strong communication skills
A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin

Salary range:

Canada: the pay range for this role is $156,000 - $214,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Effective January 2025, Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays. Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Applications for this position will be accepted for a minimum of 30 days from the posting date.

Why you’ll love working at Faire

We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

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Company Description

SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of 99,500 dedicated professionals with over 145 years of service excellence.

Job Description

The Global Technology Office is an internal team supporting the entire SGS business by implementing Data & BI solutions that optimize processes and create value for clients, using an agile approach, hybrid teams, and fast delivery.

As an Analyttics Engineer, you will develop and maintain data solutions (back and front end) using Azure Data Platform and Power BI, with a focus on BI, streaming, and big data. You'll own the design, implementation, and testing of solutions, while collaborating across SGS teams. A key member of the NextGen Data Intelligence Team, you’ll contribute to delivering data products per the NextGen Data roadmap.

Responsibilities

Implement data/BI solutions (pipelines, data marts, reports, visualizations) aligned with SGS governance and best practices.
Apply Agile methodologies and CI/CD processes.
Develop and maintenance (evolutive, corrective and adaptative) of data and business intelligence projects as data warehouses or data marts;
Contribute to the continuous improvement of the SGS Data & BI Framework;
Stay updated on data trends and improve the Data & BI Framework.

Qualifications

4+ years in cloud-based BI solutions.
Experience translating business requirements to BI, data warehouses, or marts.
Strong data modeling skills, with a focus on dimensional modeling and OLAP.
Strong coding skills.
Deep knowledge of several of the following Azure-based data services and platforms like Data Factory, Synapse, Azure SQL Database, Power BI, Event Hub, Azure Functions, Databricks, Analysis Services, Fabric, Snowflake; awareness and relevant tools similar to these ones;
Advanced Power BI and DAX knowledge.
Experience with CI/CD (Azure DevOps/GitHub).
Ability to write clear an well-structured technical documentation using DevOps central document repository. Jira or other similar tools will be a plus;
Ability to work collaboratively and effectively with people at all levels in an organization;
Ability to communicate complex ideas effectively – both verbally and in writing – in English (must) and Spanish.

Additional Information

Why SGS?

Global and very stable company, world leader in the TIC (Testing, Inspection and Certification) industry.
Flexible schedule and work model.
SGS university and Campus for continuos learning options.
Multinational environment where you will work with colleagues from multiple continents.
Benefits platform.

Join Us: At SGS, we are committed to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential. Apply now to be part of our motivated and dynamic team!

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Description

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

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

We are seeking a Data Engineer in the Incident Response Tooling team to design, develop and implement data pipelines to source data from internal or external sources using various technologies like API (REST / Graph), Data Brokers, ETL tools, etc. The ideal candidate will have strong analytical skills, ability to spot data anomalies in large volume of data, willingness learn new technologies, and collaborative nature to work in a team setting.

Key Responsibilities:

Design and implement RESTful APIs to support backend data engineering pipelines and front-end functionality in case of web application.
Develop data flows using ETL tools.
Spot patterns, correlate data and understand its value in solving business use cases.
Collaborate with the development team to define and implement CI/CD pipelines.
Utilize Git for version control and collaborate on code reviews.
Ensure the performance, quality, and responsiveness of data pipelines and applications.
Identify and fix bugs and performance bottlenecks.
Stay up-to-date with emerging technologies and industry trends.

Requirements:

5+ years of experience in data engineering projects and bachelor’s degree in Software Engineering, Computer Science, Mathematics, or Information Systems.
At least 3+ years of experience in Python and Python Frameworks e.g. Django, FastAPI etc.
Experience in developing RESTful APIs.
Hands-on experience on ELK stack with experience in building logstash pipeline for a high volume data flow.
Proficiency with data flow solutions like Apache Nifi, Apache Airflow, AWS Glue, Azure Data Factory or similar tools.
Experience with relational database management systems such as Microsoft SQL Server, Postgres.
Basic knowledge of Linux based systems
Good experience of working on Kubernetes, Docker and containerized platform.
Experience in building data pipeline using Google Cloud native services.
Knowledge on usage of CICD tools.
Soft Skills - analytical attitude, critical thinking, self-driving, proactive.

Minimum Qualifications

Salary Range: $70,000.00 to $135,000.00 annually + bonus + benefits

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

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

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

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

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

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

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

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

Job

Technologies

Primary Location

US-Arizona-Phoenix

Organization

A6476 - Cyber Analytics

Schedule

Full-timeJob Band 30Work Location Options Hybrid

Job Posting

Aug 20, 2025, 10:35:48 PM - Aug 28, 2025, 6:59:00 AM

Recruiter

Taylor LuuYip

Hiring Manager

Abhijit A Deshmukh","hiringOrganization":{"@type":"Organization","name":"American Express","sameAs":"https://www.americanexpress.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US-Arizona-Phoenix","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Är du vår nästa Data engineer inom Analytics?","datePosted":"2025-07-20","description":"

Brinner du för Data & Analytics? Är du på jakt efter det där avgörande steget som kommer att lyfta din karriär till nya höjder? Då har du hittat rätt!

Hos Avega Data & Analytics letar vi efter just dig – en dedikerad Data engineer, full av driv och redo att omvandla din tekniska skicklighet till fantastiska lösningar som verkligen gör skillnad. Missa inte chansen att bli en del av vårt härliga team och forma framtiden med oss!

Vad vi erbjuder:

Vårt mål är att vara den mest utvecklande arbetsplatsen i din karriär. Vårt unika forum för kompetensutveckling – Elevate – har över 70 föreläsningar och workshops om året. Utöver Elevate delar vi kunskap kontinuerligt genom bl a livliga chattar, Lunch’n’Learn, och ML Hackatons.

Vår matchningsprincip 1:1 innebär att vi alltid strävar efter 100% matchning mellan våra kompetenser och våra kunders utmaningar – vi är aktivt med och väljer våra konsultuppdrag för att uppnå kontinuerlig utveckling och engagemang. För oss är rätt utmaning för varje individ avgörande för att lyckas i rollen.

Vi återfinns i de flesta branscher i den svenska arbetsmarknaden, och vi väljer gärna kunder och uppdrag som både utvecklar oss som konsulter och som gynnar samhället i stort.

På Avega delar vi generöst med oss av vår kunskap och är alltid redo att lära av varandra, i en atmosfär präglad av ömsesidig respekt och prestigelöshet. Det skapar en familjär och uppmuntrande arbetsmiljö för alla.

Dina kvalifikationer

Programmeringsspråk: Starka färdigheter i SQL, Python, och möjligen andra språk som Java eller Scala.
Databasteknik: Erfarenhet av relationsdatabaser (RDBMS), NoSQL-databaser, och kunskaper inom databasdesign och optimering.
Molntekniker: Erfarenhet av att arbeta med molntjänster som AWS, Azure, och GCP, inklusive specifika verktyg för datahantering som BigQuery, Dataflow, och Azure Data Factory DevOps och automatisering: Kunskap om automatiseringsverktyg och processer, inklusive CI/CD, Terraform och Git.
Språk: Goda kunskap i svenska och engelska – både i tal och skrift.
Erfarenhet: minst 6 års arbetserfarenhet som data engineer.

Meriterande

Dataanalys och visualisering: Förmåga att skapa insiktsfulla rapporter och dashboards, samt kompetens inom dataanalysverktyg så som i Tableau, Qlik eller Power BI.
Erfarenhet av att designa och implementera Databricks

Är du redo att ta nästa steg i din Analytics-karriär och göra en verklig skillnad med dina färdigheter inom data engineering?

Vi ser fram emot att lära känna dig och utforska hur du kan bidra till vårt team!

Brinner du för Data & Analytics? Är du på jakt efter det där avgörande steget som kommer att lyfta din karriär till nya höjder? Då har du hittat rätt!

Vad vi erbjuder:

Vi återfinns i de flesta branscher i den svenska arbetsmarknaden, och vi väljer gärna kunder och uppdrag som både utvecklar oss som konsulter och som gynnar samhället i stort.

Dina kvalifikationer

Programmeringsspråk: Starka färdigheter i SQL, Python, och möjligen andra språk som Java eller Scala.
Databasteknik: Erfarenhet av relationsdatabaser (RDBMS), NoSQL-databaser, och kunskaper inom databasdesign och optimering.
Molntekniker: Erfarenhet av att arbeta med molntjänster som AWS, Azure, och GCP, inklusive specifika verktyg för datahantering som BigQuery, Dataflow, och Azure Data Factory DevOps och automatisering: Kunskap om automatiseringsverktyg och processer, inklusive CI/CD, Terraform och Git.
Språk: Goda kunskap i svenska och engelska – både i tal och skrift.
Erfarenhet: minst 6 års arbetserfarenhet som data engineer.

Meriterande

Dataanalys och visualisering: Förmåga att skapa insiktsfulla rapporter och dashboards, samt kompetens inom dataanalysverktyg så som i Tableau, Qlik eller Power BI.
Erfarenhet av att designa och implementera Databricks

Är du redo att ta nästa steg i din Analytics-karriär och göra en verklig skillnad med dina färdigheter inom data engineering?

Vi ser fram emot att lära känna dig och utforska hur du kan bidra till vårt team!

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With over 800 employees globally, they are going into Hyper Growth mode with over 1,000 vacancies benchmarked in the coming few years. They have just secured several hundred million dollars in funding to enable their growth and part of this is building a brand new development hub in the centre of the thriving Barcelona tech scene.
Their SaaS platform provides deep user experience analytics for their enterprise clients, they utilise state of the art Machine Learning which allows them to offer unique improvement suggestions to both increase users experiences, as well as increase revenue.
We are building a brand new development team in brand new offices in Barcelona! We are building teams from absolute scratch, so you will have best of both worlds; stability, funding, access to cutting edge technology and operating at huge scale as well as a start-up feel, joining as one of the initial Engineers in Spain with the ability to grow with the team.
Their tech stack includes: Scala, Golang, Flink, Clickhouse, Akka-stream, Akka-http. We are open to hiring Engineers from any technical background providing you are willing to work with the above.
Benefits: - Competitive salary + stock options. - Flexible working hours. - You'll be exposed to the complexities of working with some of the biggest sites, apps, and brands in the world. - You’ll be joining a company that’s seen incredible growth and market traction. - You’ll be joining a company that truly cares about its employees and works hard to make sure your efforts are rewarded. - You'll be building a product that their clients truly love","hiringOrganization":{"@type":"Organization","name":"Techruiter","sameAs":"https://www.techruiter.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Data Engineer - Global Analytics Scale-up > $800m funding!","datePosted":"2025-08-06","description":"We are recruiting multiple Data Engineers for our client who are a world leader in the Digital Analytics space and are regarded as one of the most exciting tech scale-ups in Europe!
With over 800 employees globally, they are going into Hyper Growth mode with over 1,000 vacancies benchmarked in the coming few years. They have just secured several hundred million dollars in funding to enable their growth and part of this is building a brand new development hub in the centre of the thriving Barcelona tech scene.
Their SaaS platform provides deep user experience analytics for their enterprise clients, they utilise state of the art Machine Learning which allows them to offer unique improvement suggestions to both increase users experiences, as well as increase revenue.
We are building a brand new development team in brand new offices in Barcelona! We are building teams from absolute scratch, so you will have best of both worlds; stability, funding, access to cutting edge technology and operating at huge scale as well as a start-up feel, joining as one of the initial Engineers in Spain with the ability to grow with the team.
Their tech stack includes: Scala, Golang, Flink, Clickhouse, Akka-stream, Akka-http. We are open to hiring Engineers from any technical background providing you are willing to work with the above.
Benefits: - Competitive salary + stock options. - Flexible working hours. - You'll be exposed to the complexities of working with some of the biggest sites, apps, and brands in the world. - You’ll be joining a company that’s seen incredible growth and market traction. - You’ll be joining a company that truly cares about its employees and works hard to make sure your efforts are rewarded. - You'll be building a product that their clients truly love","hiringOrganization":{"@type":"Organization","name":"Techruiter","sameAs":"https://www.techruiter.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Data Engineer - Global Analytics Scale-up > $800m funding!","datePosted":"2025-08-10","description":"We are recruiting multiple Data Engineers for our client who are a world leader in the Digital Analytics space and are regarded as one of the most exciting tech scale-ups in Europe!
With over 800 employees globally, they are going into Hyper Growth mode with over 1,000 vacancies benchmarked in the coming few years. They have just secured several hundred million dollars in funding to enable their growth and part of this is building a brand new development hub in the centre of the thriving Barcelona tech scene.
Their SaaS platform provides deep user experience analytics for their enterprise clients, they utilise state of the art Machine Learning which allows them to offer unique improvement suggestions to both increase users experiences, as well as increase revenue.
We are building a brand new development team in brand new offices in Barcelona! We are building teams from absolute scratch, so you will have best of both worlds; stability, funding, access to cutting edge technology and operating at huge scale as well as a start-up feel, joining as one of the initial Engineers in Spain with the ability to grow with the team.
Their tech stack includes: Scala, Golang, Flink, Clickhouse, Akka-stream, Akka-http. We are open to hiring Engineers from any technical background providing you are willing to work with the above.
Benefits: - Competitive salary + stock options. - Flexible working hours. - You'll be exposed to the complexities of working with some of the biggest sites, apps, and brands in the world. - You’ll be joining a company that’s seen incredible growth and market traction. - You’ll be joining a company that truly cares about its employees and works hard to make sure your efforts are rewarded. - You'll be building a product that their clients truly love","hiringOrganization":{"@type":"Organization","name":"Techruiter","sameAs":"https://www.techruiter.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Data Engineer, Ads Marketing Analytics (Spanish and English)","datePosted":"2025-08-07","description":"

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
3 years of experience coding in one or more programming languages.
3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
Ability to communicate in Spanish and English fluently to support client relationship management in this region.

Preferred qualifications:

Experience with cloud-based data platforms.
Experience working with advanced analytics solutions involving machine learning and statistical analytics including prompt engineering techniques.
Knowledge of data warehousing concepts, including technical architectures, infrastructure components, ETL and reporting/analytics tools and environments.
Knowledge of SQL, and experience with data processing software.
Ability to work cross-functionally with technical and business stakeholders with listening, critical thinking, and problem-solving skills.
Ability to operate in a fast-paced, constantly evolving and collaborative environment.

About the job

gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.

As a Data Engineer on the Ads Marketing Analytics team, you will play a vital role in building and maintaining the data infrastructure that fuels our marketing measurement you will design, develop, and optimize data pipelines, ensuring data quality and accessibility for analysis and reporting. Your technical expertise will enable the marketing team to leverage data-driven insights to optimize campaigns and measure the impact of marketing initiatives. You will leverage AI in your work.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

Design, develop, and maintain data pipelines to collect, process, and store data from various data sources.
Implement robust data quality checks and monitoring to ensure data accuracy and integrity.
Collaborate with cross-functional teams (marketing, data science, engineering, analytics) to understand data requirements and deliver data solutions.
Optimize data infrastructure for performance to meet evolving business needs.
Create and maintain dashboards and reports to provide insights to the marketing team.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, CDMX, Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Är du vår nästa Data engineer inom Analytics?","datePosted":"2025-08-10","description":"

Brinner du för Data & Analytics? Är du på jakt efter det där avgörande steget som kommer att lyfta din karriär till nya höjder? Då har du hittat rätt!

Vad vi erbjuder:

Vi återfinns i de flesta branscher i den svenska arbetsmarknaden, och vi väljer gärna kunder och uppdrag som både utvecklar oss som konsulter och som gynnar samhället i stort.

Dina kvalifikationer

Programmeringsspråk: Starka färdigheter i SQL, Python, och möjligen andra språk som Java eller Scala.
Databasteknik: Erfarenhet av relationsdatabaser (RDBMS), NoSQL-databaser, och kunskaper inom databasdesign och optimering.
Molntekniker: Erfarenhet av att arbeta med molntjänster som AWS, Azure, och GCP, inklusive specifika verktyg för datahantering som BigQuery, Dataflow, och Azure Data Factory DevOps och automatisering: Kunskap om automatiseringsverktyg och processer, inklusive CI/CD, Terraform och Git.
Språk: Goda kunskap i svenska och engelska – både i tal och skrift.
Erfarenhet: minst 6 års arbetserfarenhet som data engineer.

Meriterande

Dataanalys och visualisering: Förmåga att skapa insiktsfulla rapporter och dashboards, samt kompetens inom dataanalysverktyg så som i Tableau, Qlik eller Power BI.
Erfarenhet av att designa och implementera Databricks

Är du redo att ta nästa steg i din Analytics-karriär och göra en verklig skillnad med dina färdigheter inom data engineering?

Vi ser fram emot att lära känna dig och utforska hur du kan bidra till vårt team!

Brinner du för Data & Analytics? Är du på jakt efter det där avgörande steget som kommer att lyfta din karriär till nya höjder? Då har du hittat rätt!

Vad vi erbjuder:

Vi återfinns i de flesta branscher i den svenska arbetsmarknaden, och vi väljer gärna kunder och uppdrag som både utvecklar oss som konsulter och som gynnar samhället i stort.

Dina kvalifikationer

Programmeringsspråk: Starka färdigheter i SQL, Python, och möjligen andra språk som Java eller Scala.
Databasteknik: Erfarenhet av relationsdatabaser (RDBMS), NoSQL-databaser, och kunskaper inom databasdesign och optimering.
Molntekniker: Erfarenhet av att arbeta med molntjänster som AWS, Azure, och GCP, inklusive specifika verktyg för datahantering som BigQuery, Dataflow, och Azure Data Factory DevOps och automatisering: Kunskap om automatiseringsverktyg och processer, inklusive CI/CD, Terraform och Git.
Språk: Goda kunskap i svenska och engelska – både i tal och skrift.
Erfarenhet: minst 6 års arbetserfarenhet som data engineer.

Meriterande

Dataanalys och visualisering: Förmåga att skapa insiktsfulla rapporter och dashboards, samt kompetens inom dataanalysverktyg så som i Tableau, Qlik eller Power BI.
Erfarenhet av att designa och implementera Databricks

Är du redo att ta nästa steg i din Analytics-karriär och göra en verklig skillnad med dina färdigheter inom data engineering?

Vi ser fram emot att lära känna dig och utforska hur du kan bidra till vårt team!

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience coding in one or more programming languages.
5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
Ability to communicate in Spanish and English fluently to support client relationship management in this region.

Preferred qualifications:

Experience working with advanced analytics solutions involving machine learning and statistical analytics including prompt engineering techniques.
Experience with cloud-based data platforms.
Knowledge of data warehousing concepts, including technical architectures, infrastructure components, ETL and reporting/analytics tools and environments.
Knowledge of SQL, and experience with data processing software.
Ability to work cross-functionally with technical and business stakeholders with listening, critical thinking, and problem-solving skills.
Ability to operate in a fast-paced, constantly evolving and collaborative environment.

About the job

Responsibilities

Design, develop, and maintain data to collect, process, and store data from various data sources.
Implement data quality checks and monitoring to ensure data accuracy and integrity.
Collaborate with cross-functional teams (marketing, data science, engineering, analytics) to understand data requirements and deliver data solutions.
Optimize data infrastructure for performance, efficiency to meet evolving business needs.
Create and maintain dashboards and reports to provide insights to the marketing team.

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Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals.

We are seeking a highly motivated Senior Data Engineer OR Data Engineer within Envoy Global's tech team to join us on a full time, permanent basis. This role is responsible for designing, developing, and documenting data pipelines and ETL jobs to enable data migration, data integration and data warehousing. That includes ETL jobs, reports, dashboards and data pipelines. The person in this role will work closely with Data Architect, BI & Analytics team and Engineering teams to deliver data assets for Data Security, DW and Analytics.

As our Senior Data Engineer OR Data Engineer, you will be required to:

Design, build, test and maintain cloud-based data pipelines to acquire, profile, cleanse, consolidate, transform, integrate data
Design and develop ETL processes for the Data Warehouse lifecycle (staging of data, ODS data integration, EDW and data marts) and Data Security (Data archival, Data obfuscation, etc.).
Build complex SQL queries on large datasets and performance tune as needed
Design and develop data pipelines and ETL jobs using SSIS and Azure Data Factory
Maintain ETL packages and supporting data objects for our growing BI infrastructure
Carry out monitoring, tuning, and database performance analysis
Facilitate integration of our application with other systems by developing data pipelines
Prepare key documentation to support the technical design in technical specifications
Collaborate and work alongside with other technical professionals (BI Report developers, Data Analysts, Architect)
Communicate clearly and effectively with stakeholders

To apply for this role, you should possess the following skills, experience and qualifications:

Design, Develop, and Document Data Pipelines and ETL Jobs: Create and maintain robust data pipelines and ETL (Extract, Transform, Load) processes to support data migration, integration, and warehousing.
Data Assets Delivery: Collaborate with Data Architects, BI & Analytics teams, and Engineering teams to deliver high-quality data assets for data security, data warehousing (DW), and analytics.
ETL Jobs, Reports, Dashboards, and Data Pipelines: Develop and manage ETL jobs, generate reports, create dashboards, and ensure the smooth operation of data pipelines.
3+ years of experience as a SSIS ETL developer, Data Engineer or a related role
2+ years of experience using Azure Data Factory
Knowledgeable in Data Modeling and Data warehouse concepts
Experience working with Azure stack
Demonstrated ability to write SQL/TSQL queries to retrieve/modify data
Knowledge and know-how to troubleshoot potential issues, and experience with best practices around database operations
Ability to work in an Agile environment

Should you have a deep passion for technology and a desire to thrive in a rapidly evolving and creative environment, we would be delighted to receive your application. Please provide your updated resume, highlighting your relevant experience and the reasons you believe you would be a valuable member of our team. We look forward to reviewing your submission.

","hiringOrganization":{"@type":"Organization","name":"Envoy Global","sameAs":"https://www.envoyglobal.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Data Engineer / Senior Data Engineer","datePosted":"2025-08-04","description":"Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.
Why This Role Is Important To Arcadia
The Arcadia Data Engineering team onboards and supports the data feed integrations between Client Claim and Clinical data management platforms and our Healthcare Solution Platform. Our customers are top Healthcare providers and payers, and we help them integrate their internal systems with our analytic platform. The Data Engineering team is responsible for the data architecture that drives the partnership with customers and other internal organizations to drive success through adoption of cutting edge analytic solutions that leverage new age technologies and best practices. Our Data Engineers require both SQL Database knowledge and design , along with multiple programing languages. As a Data Engineer, you will drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client Claim and Clinical data platforms and our analytic health solution platform. Your efforts will be critical to driving the long-term partnership between Arcadia and our customers.
What Success Looks LikeIn 3 months- Learn the different areas of the data connector life cycle, and develop a working knowledge of the technical stacks, storage platforms, data models, and Arcadia's development cycle - Familiarize yourself with the existing data pipeline and associated product capabilities - Set to work on new ingestion pipelines with full bandwidth available (as formal training will end)
In 6 months- Work on higher level enhancement requests and ingestion pipelines - Deliver data reviews to clients and other departments regarding code quality and test cases- Set your own personal vision of development and career aspirations and set a working path forward with leadership to work on how we can help you attain those goals - Contribute to scrum ceremonies and ceremonies within the dev cycles while successfully updating status and progress in Jira
In 12 months- Develop/support a range of data pipelines with varying complexity - Work with Product, Engineering or Implementation to build out tools for better data integration capabilities - Work on standardized data connector development - Pick a SME (subject matter expert) path that aligns with your career development goals and evolving needs of the business \n

What You'll Be Doing

As a Senior Data Engineer, you will drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client data platforms and our analytic health solution platform. Your outcomes are critical to driving the long-term partnership between Arcadia and our customers.
Design and documentation of connectors / ingestion pipelines
Build and unit testing of delivery connectors / ingestion pipelines
Support of our processes in partaking in peer code reviews, sprint planning, product grooming, maintaining Jira tasks and peer test reviews
You will be expected to contribute to multiple implementations simultaneously, which will include both new customer setup as well as support and enhancements for existing customers

Delivery

Responsible for delivery of work on expected timelines
Able to identify risk to project success and communicate to leadership
Works mostly independently on delivery w/decreasing involvement from engineering and more senior team members
Consistently deliver pipelines of increasing quality with \"lessons learned\" incorporated into next project
Able to apply critical thinking and problem solving skills to propose solutions for complex problems within day to day work

Technical Domain Knowledge:

Working and growing knowledge of new tech stack with less focus on finding efficiency in the technology and greater focus on understanding use of it
Developing ability to understand technical issues and communicate potential solutions to team members or engineering team

Business Domain Knowledge:

Developing working knowledge of the business of healthcare data and how it interacts within the Arcadia products
Understanding of shared value contracts that our customers are in and how data is impacted by them
Developing knowledge of industry data expected values such as PMPM by LOBs, MM trends, etc.

Communication Skills:

Developing internal and external professional communication skills including presentation of issues using appropriate industry vocabulary

Team Projects:

Responsible for contributing to the advancement of team processes and internal

What You'll Bring

Senior Experience Level of 5-8 years post-grad with relevant industry experience or graduate level degree

Tech

As a data engineer you will be expected to problem solve coding issues and enhancements with frameworks that are built in Spark, while also leveraging technical skills to partake in idea sessions on process improvement and POC design of how to carry out a solution
SQL: 2-4 year (Preferred)
Spark: 1-2 years (Preferred)
NoSQL Databases: 1-2 years (Preferred)
Database Architecture: 2-3 years (Preferred)
Cloud Architecture: 1-2 years (Preferred)

Data

As a data engineer you will be expected to problem solve some basic data analysis issues and work the data to create analytic enhancements
Healthcare Data: 2-4 years (Preferred)
Healthcare Analytics: 1-3 years (Preferred)

Would Love for You to Have

AWS (S3 and EC2): 2-3 years
Python: 3-5 years
Nifi: 3- 5 years
Kafka: 3-5 years
Java : 3-5 years
Healthcare Analytics: 3-5 years

What You'll Get

Chance to be surrounded by a team of extremely talented and dedicated individuals driven to succeed
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
A flexible, remote friendly company with personality and heart
Employee driven programs and initiatives for personal and professional development
Be a member of the Arcadian and Barkadian Community

About ArcadiaArcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect YourselfIf you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.","hiringOrganization":{"@type":"Organization","name":"Arcadia","sameAs":"https://arcadia.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (USA)","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-18","description":"Transfr is on a mission to help create pathways to career success. Our immersive career exploration and training simulations empower learners and job seekers of all ages find the right job for them and build the skills they need to enter (or reenter) the workforce or change careers — helping them improve their quality of life.
Immersive VR experiences from Transfr have been shown in studies to deliver better learning gains than video tutorials, slide presentations, and other training methods. Learners also find Transfr experiences highly engaging and enjoyable. At Transfr, we believe the future starts with innovative workplace training and skills development. We’re building bridges between schools, workplaces, and governments to help improve training and job placement pipelines and create a better tomorrow, today.
Summary: As a Data Engineer at Transfr, you will help build data solutions from multiple sources that enable fast, data-driven decision making on issues including usability, learning, product engagement, and quality. This individual will have the opportunity to work with researchers, engineers, and product designers across the company and engage in cutting-edge research to contribute to learning research and analytics.
This role asks you to embody our 7 cultural values (radical responsibility, teamwork, creativity, win-win mindset, personal growth, empathy, and humility). \n

Key Responsibilities:

Work with stakeholders to map business definitions to logical definitions that can be modeled in DBT.
Instrument data solutions from multiple sources that enable fast, data-driven decision making on issues including usability, learning, product engagement, and quality.
Build the infrastructure required for optimal extraction, transformation, and loading of data from multiple data sources using GCP technologies.
Build real-time, scalable data solutions that support A/B product testing and support data and learning science through enabling visualizations and views into complex data sets
Create and maintain data pipeline architecture, configuration and implementation
Work with internal teams to assist with data-related technical issues and support their data infrastructure, access, and visualization needs.
Support cross-functional teams with the creation of data strategies and data guidance documentation and architectures
Adhere to data privacy and security guidelines and regulations analysis
Build data expertise and own data quality for allocated areas
Create efficient processes for acquiring, extracting, integrating, transforming, and modeling data to derive useful information

Technical Expertise:

4+ years of experience as a data engineer, analytics engineer, data analyst, or similar role focused on data architecture and warehouse development
Proven expertise in SQL, Python, and cloud platform technologies (we use GCP)
Deep understanding of data warehousing, modeling, and real-time analytics to support experimentation (e.g., A/B testing) and product intelligence
Proficient in modern data tooling (e.g., BigQuery, dbt, Airflow, Pub/Sub) and version control systems (e.g., Git)
Knowledge of robust, scalable ETL/ELT pipelines and streaming data solutions
Knowledge of data visualization and BI tools such as Looker, Tableau, or similar
Familiarity with data privacy, governance, and security best practices, including compliance frameworks (e.g., GDPR, FERPA)

Collaboration & Communication:

Strong communication skills with the ability to translate complex data concepts into clear, actionable insights for technical and non-technical stakeholders
Demonstrated success working cross-functionally with product managers, researchers, engineers, and designers
Experience contributing to data documentation and mentoring teammates on best practices and data strategy

Mindset & Values Alignment:

Self-starter who takes radical responsibility for end-to-end data solution delivery
Proven ability to work in high-collaboration, team-oriented environments and thrive on shared success
A creative problem solver who embraces ambiguity and seeks novel approaches to challenging data problems
Strong empathy for data users and consumers, with a focus on usability and clarity in data access and reporting
Demonstrated humility and openness to feedback, continuous improvement, and collaborative experimentation

What We Offer:The base salary range for this position is expected to be between $120,000 - $132,000, with the actual base salary amount dependent on a number of factors, including but not limited to a candidate’s credentials, relevant experience, and primary job location. In addition to salary, this role may be eligible for additional company benefits such as stock options, 401(k), paid vacation and sick time, and health benefits.
In Closing:
If you're looking to make a big difference in the lives of others, we invite you to join us on our mission to make learning more intuitive and help individuals develop the skills they need for career success. Be a part of creating pathways to prosperity by helping to develop training simulations to teach skills that lead to well-paying jobs, for all. At Transfr, we embrace diversity because it breeds innovation. Transfr is an equal opportunity employer that participates in E-Verify committed to providing equal employment opportunities to all applicants, consultants, and employees, and prohibits discrimination and harassment of any type without regard to race, color, religion, age, 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. **Must be authorized to work in the United States without restriction**
Learn more at transfrinc.com","hiringOrganization":{"@type":"Organization","name":"Transfr","sameAs":"https://transfrinc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"REMOTE"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-19","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Engineer Responsibilities

Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
Define and manage SLA for all data sets in allocated areas of ownership.
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
Influence product and cross-functional teams to identify data opportunities to drive impact.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Telecommute from anywhere in the U.S. permitted.

Minimum Qualifications

Master’s degree (or foreign degree equivalent) in Computer Science, Engineering, Software Engineering, Mathematics, Physics, or related field and three years of work experience in job offered or in a computer-related occupation
Requires three years of experience in the following:
1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
2. Writing SQL statements
3. Analyzing large volumes of data to identify deliverables or to provide data driven insights, gaps, and inconsistencies
4. Data warehousing architecture and plans, AND
5. Informatica, Talend, Pentaho, dimensional data modeling, or schema design

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$200,066/year to $208,069/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA | Remote, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-18","description":"

At Koalafi, we believe in a world where no one has to put an important purchase on hold. That’s why we’re making it easier for more people to pay for big purchases over time.

Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers, while increasing sales and strengthening customer loyalty. Their 2M+ customers love us because we provide a flexible way for them to make payments and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers.

Interested in learning more about how we’re transforming the financing experience and joining our team?

What You’ll Do

Our data engineering team is looking for an engineer to help scale and modernize our cloud native data platform. We’re reinventing our data to help support our analysts and data scientists to make faster, better decisions with data.

This position is responsible for designing, executing, assessing, and troubleshooting data pipelines using modern toolsets like Snowflake, Stitch, Databricks, and dbt. This includes interacting with stakeholders, gathering business requirements, and developing data solutions for enterprise production reporting. The data engineer will apply proven communication, engineering, and problem-solving skills to help define success, determine approach, and deliver quality data solutions.

Design, develop, test, and deploy data pipelines and use case driven data sets that meet critical business needs, both operational and analytical
Conduct research and on emerging technologies, approaches, and best practices to incorporate into the data environment
Contribute to modern and traditional data warehousing solutions for business intelligence consumption
Design and implement data test scenarios to maintain high quality data standards.
Partner with stakeholders and engineering leadership to understand requirements and create consensus on approach and outcomes.
Model business and application processes based on findings through use case scenarios, workflow diagrams, and data models
Prepare and socialize documentation of data process requirements and specifications

About You

Four-year college or university program certificate in Computer Science/Engineering or Information Systems; or 5+ years related experience and/or training; or equivalent combination of education and experience
2+ years’ hands-on experience delivering data solutions in production
2+ years contributing to a data, analytics, or software engineering team
Proficient in building data pipelines in a production environment that supports critical data output
Exposure to a variety of ETL/ELT tools and approaches.
Experience with construction or maintenance of modern or traditional data warehouse environments
Exceptional analytical, conceptual, and problem-solving abilities
Highly self-motivated and directed, with keen attention to detail
Ability to drive towards outcomes that meet stakeholder needs
Involvement in development of complex projects including technical design and analyzing requirements
Knowledge of scrum/agile software development process
Proficient with ANSI-SQL (T-SQL also helpful)
Experience with Python, Apache Spark library or other programming language
Experience building solutions with Snowflake, dbt, and Stitch Data (or similar technologies)
Experience with source control tools such as Git, and familiarity with CICD concepts
Location Requirement: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must already be located within a commutable distance to either location, as relocation assistance is not available at this time

Why choose Koalafi: A career at Koalafi means opportunities to tackle exciting challenges every single day. We take pride in a culture of innovation, trust, and ownership. You'll get outside your comfort zone, build meaningful relationships, and most of all, take charge of projects that ultimately help people get the things they need most.

Benefits:

At Koalafi, you will have a direct impact on our products and help shape the company’s success. We offer competitive compensation & benefits packages to keep you at your best:

Comprehensive medical, dental, and vision coverage
20 PTO days + 11 paid holidays
401(k) retirement with company matching
Student Loan & Tuition Reimbursement
Commuter assistance
Parental leave (maternal + paternal)
Inclusion and Associate Engagement Programs

Who we are & what we value:

We focus on what’s most important
We set clear expectations and deliver
We embrace challenges to reach our full potential
We ask, “How can this be better?”
We move fast together

","hiringOrganization":{"@type":"Organization","name":"Koalafi","sameAs":"https://koalafi.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington, VA or Richmond, VA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-18","description":"

About Klar

Let’s start with the basics! Klar is a Mexican fintech startup whose mission is to democratize and revolutionize the way in which financial services have been delivered so far in Mexico, especially since half of the population doesn’t have a bank account. We offer a rich set of products across our debit and credit offers and the future is bright for Klar! We have an exciting and ambitious roadmap to bring more features to our products so that we can better serve our users. We have served more than 2 million users since our launch in 2019!

We are also proud to have been certified in 2023 as a “Great Place to Work” in Mexico - we’ve worked hard to make that happen and will continue to make bigger strides in the future! Sound like a place you’d like to be?

Our people

If you join us at Klar, you’ll be welcomed to a team which is rich in many talents and we are very proud! With our head office in Mexico City, and remote tech hubs in Berlin and Argentina, we are always learning something new about another culture or language. With so many people from different backgrounds and walks of life (young professionals, parents, LGBTQ+, neurodivergence), you’ll definitely find your people here!

Our values

Ownership - We own our successes & our failures as a team.

Excellence - We do everything to the best of our ability & always seek to achieve a new level of excellence in our work.

Inclusion - We believe we are stronger together and actively work to promote a safe, diverse, inclusive, and respectful culture.

Customer Obsession - We understand the value Klar can bring to its customers & it’s always at the forefront of our decisions.

Klarity - We communicate clearly & with authenticity. It’s in our name & it’s what we do.

Tasks

What you can expect:

Design, build, and maintain scalable and efficient data pipelines, with a particular emphasis on streaming data. Leverage modern technologies, including tools like Rising Wave, Kafka, Mage ai, Spark, and Redshift, to ensure the seamless processing of data in batch and real-time.
Design, build, and maintain streaming and batch data pipelines, incorporating best practices for reliability, scalability, and efficiency.
Optimize and maintain the data pipelines and data platform infrastructure.

Requirements

What we are looking for:

Bachelor’s degree in an engineering discipline or analytical field (e.g., Computational, Mechatronics, Mathematics, Physics, etc.)
Proven experience as a Data Engineer, focusing on building and optimizing data pipelines.
Proficient in SQL
Proficient in Python
Proficient in Git
Cloud Experience (AWS is a bonus)
Advanced English level
Passionate about learning new tools and technologies, and can quickly adapt in a fast-paced environment.

Desirable:

Experience in Terraform for infrastructure as code.
Experience working with Kubernetes
The ideal candidate should possess hands-on experience with tools related to streaming data and real-time data processing, such as Apache Flink or similar technologies. This includes designing and implementing solutions that can handle data in real time, ensuring the scalability and efficiency of streaming data pipelines.
Bonus: Has worked with DBT, Rising Wave, Kafka, and Kubernetes
Bonus: Knowledge of Amazon Redshift and experience optimizing its performance.
Bonus: Prior experience with data orchestration tools.

Benefits

Our offer to you:

Competitive salary based on performance and experience
Chance of earning Klar stock options
15 days of paid vacation per year; plus extended maternity and paternity leaves
Vacation premium
30 days of Christmas bonus
Food vouchers
Medical Insurance
Computer device
Wellhub subscription to offer mental and physical health
Sponsored coaching and therapy sessions via Modern Health
A modern centrally located office in Mexico City with free drinks, snacks, and regular social events
International work environment with amazing and highly skilled people
A world class team that helps you evolve your skills in areas you're interested in

Klar is a safe place for everyone!

We trust our highly skilled and diverse team and we’re committed to creating a welcoming and inclusive environment for new talents to flourish. We value diversity and welcome all applications regardless of gender, nationality, ethnic and social origin, religion/belief, physical abilities, age, sexual orientation and identity.

Should you require any accommodations through the recruitment process, please don’t hesitate to let us know how we can help!

","hiringOrganization":{"@type":"Organization","name":"Klar Technologies GmbH","sameAs":"https://klar.mx/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}}]}

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