Data Engineer

Data Engineer page is loaded## Data Engineer remote type:
Hybrid locations:
IL - Buffalo Grovetime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
March 30, 2026 (30+ days left to apply) job requisition :
R0836841

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
** Position Summary
** If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.

As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

This role will work onsite in our Buffalo Grove, IL office 3 days per week (every other week).
** Required Qualifications
*** 1+ years of experience with SQL, No

SQL
* 1+ years of experience with Python
* 1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
* 1+ years of experience with ETL/ELT, and building high-volume data pipelines
* 1+ year experience designing and building data engineering solutions in cloud environments (preferably GCP, open to AWS or Azure)
* 1+ years of experience with reporting/analytic tools
* 1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
* 1+ years of experience with Big data and cloud architecture
** Preferred Qualifications
*** Experience building Agentic AI solutions
* Experience with complex systems and solving challenging analytical problems
* Strong collaboration and communication skills within and across teams
* Experience with Git, CI/CD pipeline, and other Dev Ops principles/best practices
* Experience with bash shell scripts, UNIX utilities & UNIX Commands
* Understanding of software development methodologies including waterfall and agile
* Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
* Knowledge of API development
* Google Professional Data Engineer Certification
* Knowledge of microservices and SOA
* Formal SAFe and/or agile experience
* Previous healthcare experience and domain knowledge
** Education
* ** Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required
* Master’s Degree preferred
** Anticipated Weekly Hours
** 40
* *…