Software Engineer, Healthcare Data & AI Automation

CVS Health

Columbus (OH)

On-site

USD 83,000 - 222,000

Full time

5 days ago
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Benefits offered by this job

Comprehensive benefits package
Bonus eligibility

Job summary

CVS Health in Columbus, OH is seeking a Senior Data Engineer to design, develop, and implement digital solutions for Payer Operations, focusing on metadata enrichment, automated contracts, and performance measurement.

You will architect end-to-end integration patterns across cloud services, core clinical systems, and an Enterprise Data Platform, while driving scalable, secure data solutions with governance and best practices.

Qualifications

  • 5+ years of experience with SQL and relational DBMS
  • Dimensional data modeling, schema design, and data warehousing
  • Programming in SQL, Python, and related languages for cloud/on‑prem data warehousing
  • Troubleshooting data issues and applying performance improvement techniques
  • Excellent oral and written communication skills

Responsibilities

  • Architect and build end‑to‑end integration patterns bridging cloud-native SaaS, core clinical systems, and data platforms
  • Conduct system testing, debugging, and code reviews to ensure reliability and scalability
  • Act as a technical consultant to Product and Business leads and refine requirements
  • Explore and apply AI/ML to drive intelligent automation and innovation
  • Create and maintain architecture diagrams and best practices for platform governance
  • Ambiguity tolerance and proactive stakeholder questioning to shape solutions

Skills

SQL
Dimensional data modeling
Data warehousing
Python

Education

Bachelor's degree in Computer Science or related field

Job description

CVS Health in Columbus, OH is seeking a Senior Data Engineer to design, develop, and implement digital solutions for Payer Operations, focusing on metadata enrichment, automated contracts, and performance measurement.

You will architect end-to-end integration patterns across cloud services, core clinical systems, and an Enterprise Data Platform, while driving scalable, secure data solutions with governance and best practices.

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