Data Engineer - AI and Analytics

CVS Health offers a comprehensive benefits package and a collaborative, patient‑focused culture. This onsite, full‑time Data Engineer – AI and Analytics role is based in Buffalo Grove, IL and centered on designing, building, and maintaining large‑scale data pipelines and data products that support healthcare decision making and consumer touchpoints in a cloud based environment. The role carries a base salary range of $79,310 to $158,620 per year, eligibility for a CVS Health bonus program, and a broad set of benefits. The position typically requires a 40 hour work week and a strong emphasis on teamwork and customer impact.

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources based on eligibility
• Bonus, commission or short‑term incentive program

Responsibilities

• Design, build, and maintain efficient data pipelines to assemble large, complex datasets across CVS Health lines of business
• Partner with cross‑functional teams to develop tools that deliver actionable insights and integrate them with consumer touchpoints
• Leverage modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data
• Contribute to delivering industry‑leading data products and software with a customer‑first and collaborative, team‑driven mindset
• Collaborate within a dynamic, agile environment to deliver innovative data solutions for business problems

Requirements

• 1+ years of experience with SQL and NoSQL
• 1+ years of experience with Python
• 1+ years of experience with data warehouses, including data modeling and infrastructure components
• 1+ years of experience with ETL/ELT and building high‑volume data pipelines
• 1+ years designing and building data engineering solutions in cloud environments, preferably GCP (open to AWS or Azure)
• 1+ years of experience with reporting or 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
• Experience building Agentic AI solutions
• Experience addressing complex systems and solving challenging analytical problems
• Strong collaboration and communication skills within and across teams
• Experience with Git, CI/CD pipelines, and other DevOps best practices
• Experience with Bash shell scripts, UNIX utilities and commands
• Understanding of software development methodologies including waterfall and agile
• Ability to leverage multiple tools and programming languages to analyze and combine data from disparate 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
• Bachelor’s degree or equivalent work experience

Technologies

• Python
• SQL
• NoSQL
• Data warehouses
• ETL/ELT
• GCP
• AWS
• Azure
• Git
• CI/CD
• Bash shell scripts
• UNIX utilities and UNIX commands
• API development
• Google Professional Data Engineer Certification
• Microservices and SOA