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.

Required Qualifications
• 1+ years of experience with SQL, NoSQL
• 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 DevOps 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

Time Type
Full time

Pay Range

The typical pay range for this role is:

$79,310.00 - $158,620.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 10/30/2026