Health Data Platform Engineer for Payer Ops & AI

CVS Health

Atlanta (GA)

On-site

USD 83,000 - 222,000

Full time

6 days ago
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Job summary

CVS Health is seeking a seasoned data/engineering professional to design, build, and optimize digital solutions within Payer Operations. You’ll architect end-to-end integration patterns bridging cloud-native SaaS with core clinical systems, ensuring quality, scalability, and governance across data platforms.

You will work with Product and Business teams to refine requirements, apply AI/ML where relevant, and drive reliable data warehousing initiatives.

Qualifications

  • 5+ years of experience with SQL and relational databases.
  • Hands-on dimensional data modeling and data warehousing experience.
  • Proficiency in SQL and Python for cloud and on‑prem data services.
  • Experience troubleshooting data issues.
  • Strong communication and collaboration in a fast-paced environment.
  • Healthcare domain knowledge (HIPAA, HL7, FHIR) is a plus.

Responsibilities

  • Architect & Build: design end-to-end integration patterns across cloud-native SaaS and core clinical systems.
  • Quality & Resilience: conduct testing, debugging, and code reviews to ensure reliability.
  • Stakeholder Leadership: act as a technical consultant to Product and Business leads.
  • Innovation & AI: explore tools/frameworks and incorporate AI/ML to automate processes.
  • Documentation & Governance: create architecture diagrams and best practices.
  • Self Starter: thrive with ambiguity and seek clarity from stakeholders.

Skills

SQL
Dimensional modeling
Data warehousing
Python
Data troubleshooting
Performance optimization
Stakeholder collaboration
Communication skills

Education

Bachelor’s degree in Computer Science/IT

Job description

CVS Health is seeking a seasoned data/engineering professional to design, build, and optimize digital solutions within Payer Operations. You’ll architect end-to-end integration patterns bridging cloud-native SaaS with core clinical systems, ensuring quality, scalability, and governance across data platforms.

You will work with Product and Business teams to refine requirements, apply AI/ML where relevant, and drive reliable data warehousing initiatives.

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