Senior Software Engineer, Healthcare Payer Systems

CVS Health; Oklahoma City (OK); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a senior data engineering professional to design and implement digital solutions for Payer Operations, focusing on metadata and lifecycle automation. You will architect scalable data integrations, verify quality through testing, collaborate with cross-functional teams, and drive AI-driven improvements in data processing.

The role requires strong SQL skills, dimensional modeling expertise, and hands-on data warehousing experience, with excellent communication and a

Qualifications

• 5+ years of experience with SQL and relational databases.
• Dimensional data modeling, schema design, and data warehousing.
• Programming in SQL, Python, and related languages for cloud/on-prem data warehousing.
• Troubleshooting data issues.
• Performance improvement and process optimization experience.
• Excellent oral and written communication skills.

Responsibilities

• Architect and build end-to-end integration patterns bridging cloud-native SaaS with Epic EMR and data platforms.
• Quality and resilience: test, debug, code reviews; ensure reliability and scalability of the integration layer.
• Stakeholder leadership: advise Product and Business leads; refine requirements and propose design patterns.
• Innovation and AI: explore tools/frameworks and apply AI/ML to automate and improve development.
• Documentation and governance: create designs and diagrams and share best practices for platform self-service.

Skills

SQL

Dimensional data modeling

Python

Data warehousing

Data troubleshooting

Education

Bachelor’s degree in Computer Science/Info Tech or related field

Job description

CVS Health is seeking a senior data engineering professional to design and implement digital solutions for Payer Operations, focusing on metadata and lifecycle automation. You will architect scalable data integrations, verify quality through testing, collaborate with cross-functional teams, and drive AI-driven improvements in data processing.

The role requires strong SQL skills, dimensional modeling expertise, and hands-on data warehousing experience, with excellent communication and a