Software Engineer, Healthcare Data & AI

CVS Health; Yorktown (VA); On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Comprehensive benefits package

Retirement savings options

Paid time off

Job summary

CVS Health is seeking an experienced software engineer to design, develop, and implement digital solutions. The role focuses on optimizing Payer Operations, metadata, and contract automation while measuring performance and ensuring scalable integration across cloud and on-prem systems.

The candidate will drive architecture, testing, and governance with cross-functional teams, leveraging AI/ML to automate processes and improve data quality. A strong data background is essential.

Qualifications

• 5+ years of experience with SQL and relational databases.
• Hands-on data warehousing, modeling, and schema design.
• Programming in SQL, Python, and data integration for cloud/on-prem warehousing.
• Strong debugging and data issue troubleshooting abilities.
• Ability to own and improve processes in a fast-paced team.

Responsibilities

• Architect and build end-to-end integration patterns across cloud-native SaaS and core clinical systems.
• Lead quality, testing, debugging, and code reviews for reliability and scalability.
• Act as technical consultant to Product and Business leads on design patterns.
• Explore AI/ML tools to drive smarter automation in development.
• Create and maintain system designs, diagrams, and governance materials.
• Ambiguity-driven self-starter work style with stakeholder questions.

Skills

SQL

Relational DBMS

Dimensional data modeling

Schema design

Data warehousing

Python

Education

Bachelor's degree in Computer Science/IT

Tools

Epic EMR

Job description

CVS Health is seeking an experienced software engineer to design, develop, and implement digital solutions. The role focuses on optimizing Payer Operations, metadata, and contract automation while measuring performance and ensuring scalable integration across cloud and on-prem systems.

The candidate will drive architecture, testing, and governance with cross-functional teams, leveraging AI/ML to automate processes and improve data quality. A strong data background is essential.