Software Engineer, Healthcare Data & AI Platform

CVS Health; Saint Paul (MN); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health in the United States is seeking a senior software engineer to design, develop, and implement digital solutions across payer operations, with a focus on metadata, automation of payer contracts, and performance measurement.

You will architect end-to-end integration patterns, collaborate with cross-functional teams, and apply AI/ML to drive smarter automation while building scalable data platforms for healthcare operations.

Qualifications

• 5+ years of experience with SQL and relational databases.
• Hands-on experience in dimensional data modelling and data warehousing.
• Programming in SQL, Python, and related languages for cloud-based/on-prem data warehousing.
• Experience troubleshooting data issues and improving performance.
• Ability to drive process improvements and work in a fast-paced team.

Responsibilities

• Architect end-to-end integration patterns linking cloud-native SaaS, Epic EMR, and Enterprise Data Platform.
• Test, debug, and review code to ensure reliability and scalable performance of the integration layer.
• Act as a technical consultant to Product and Business leads; refine requirements and propose design patterns.
• Explore new tools and AI/ML to drive smarter automation in development processes.
• Create and maintain architecture designs and best practices for platform self-service.
• Handle ambiguity and work with stakeholders to develop solutions.

Skills

SQL & RDBMS

Dimensional modelling

Data warehousing

Python

Data troubleshooting

Performance optimization

Process improvement

Communication

Education

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

Job description

CVS Health in the United States is seeking a senior software engineer to design, develop, and implement digital solutions across payer operations, with a focus on metadata, automation of payer contracts, and performance measurement.

You will architect end-to-end integration patterns, collaborate with cross-functional teams, and apply AI/ML to drive smarter automation while building scalable data platforms for healthcare operations.