Senior Software Engineer, Payer Data & AI

CVS Health; Clayton (NM); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a seasoned data integration engineer to design, build, and optimize digital solutions for Payer Operations. You will architect end-to-end patterns bridging cloud-native SaaS, Epic EMR, and an Enterprise Data Platform, conduct thorough testing, and lead design discussions with product and business teams.

The role emphasizes AI-enabled automation and robust governance, with a focus on scalable integration layers and data quality across payer metadata and lifecycle contracts.

Qualifications

• 5+ years of experience with SQL and relational database management systems.
• Hands-on dimensional data modeling, schema design, and data warehousing.
• Programming in SQL, Python, and related languages for cloud-based and on-prem data warehousing.
• Hands-on experience troubleshooting data issues.
• Experience with performance improvement techniques.
• Willingness to drive process improvements and take ownership in a fast-paced, collaborative environment.

Responsibilities

• Architect end-to-end integration patterns bridging cloud-native SaaS, Epic EMR, Enterprise Data Platform.
• Conduct testing, debugging, and peer code reviews to ensure reliability of the integration layer.
• Act as a technical consultant to Product and Business leads and refine requirements.
• Explore AI/ML tools to drive innovation and smarter automation.
• Create and maintain architecture diagrams and governance documentation.
• Handle ambiguity and work with stakeholders to derive actionable design.

Skills

SQL & RDBMS

Dimensional data modeling

Data warehousing

Python

Troubleshooting

Performance optimization

Communication

Education

Bachelor's degree in CS/IT

Tools

Epic EMR

Job description

CVS Health is seeking a seasoned data integration engineer to design, build, and optimize digital solutions for Payer Operations. You will architect end-to-end patterns bridging cloud-native SaaS, Epic EMR, and an Enterprise Data Platform, conduct thorough testing, and lead design discussions with product and business teams.

The role emphasizes AI-enabled automation and robust governance, with a focus on scalable integration layers and data quality across payer metadata and lifecycle contracts.