Healthcare Data Software Engineer: AI, Cloud & Payer Ops

CVS Health; Heber (UT); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a Senior Data Integration Engineer to design, develop, and optimize digital solutions for Payer operations. You will architect end-to-end integration patterns bridging cloud-native SaaS, core clinical systems, and data platforms, collaborating with cross-functional teams.

Apply SQL, Python, and data warehousing techniques to improve data quality, performance, and automation, with opportunities to experiment with AI/ML in a healthcare context.

Qualifications

• 5+ years of experience with SQL and relational databases.
• Dimensional data modeling, schema design, and data warehousing experience.
• SQL, Python, and other languages for cloud/on-prem data warehousing.
• Troubleshooting data issues and performance optimization techniques.
• Ability to own work in a fast-paced, collaborative environment.
• Excellent oral and written communication skills.

Responsibilities

• Architect end-to-end integration patterns across cloud-native SaaS, Epic EMR, and data platforms.
• Conduct system testing, debugging, and code reviews to ensure reliability and scalability of the integration layer.
• Act as a technical consultant to Product and Business leads to refine requirements and patterns.
• Explore new tools and AI/ML approaches to drive automation and smarter workflows.
• Create and maintain designs, diagrams, and best practices for platform self-service.
• Handle ambiguity and translate vague requirements into concrete implementation.

Skills

SQL

Relational databases

Dimensional data modeling

Data warehousing

Python

Communication

Education

Bachelor’s degree in Computer Science / IT or related field

Job description

CVS Health is seeking a Senior Data Integration Engineer to design, develop, and optimize digital solutions for Payer operations. You will architect end-to-end integration patterns bridging cloud-native SaaS, core clinical systems, and data platforms, collaborating with cross-functional teams.

Apply SQL, Python, and data warehousing techniques to improve data quality, performance, and automation, with opportunities to experiment with AI/ML in a healthcare context.