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Data Engineer - AI and Analytics

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States , Buffalo Grove

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

79310.00 - 158620.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • Design, develop, and maintain optimal data pipelines to assemble large and intricate datasets
  • Craft tools to provide actionable insights and integrate them with consumer touchpoints
  • Collaborate with cross-functional teams in a dynamic and agile environment

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • Medical, dental, and vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs

Additional Information:

Job Posted:
May 15, 2026

Expiration:
June 24, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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