Software Engineer, Medical Applications & AI

CVS Health; Colorado; On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health in Colorado is seeking a senior Data Engineer to design, build, and optimize digital data platforms. You will work with SQL, Python, and cloud/on-prem warehousing to improve payer metadata and contracts.

Collaborate with product teams, architect end-to-end data integration, and drive data quality, performance, and governance. This role emphasizes problem solving in a fast-paced environment, with opportunities to apply AI/ML techniques and contribute to platform self-service

Qualifications

• 5+ years with SQL and relational DBMS
• Hands-on dimensional data modeling, schema design, and data warehousing
• Programming in SQL, Python to support cloud-based and on-prem data warehousing
• Troubleshooting data issues
• Performance improvement techniques
• Ability to work in a fast-paced, collaborative environment with strong communication

Responsibilities

• Architect & Build: design end-to-end integration patterns bridging cloud-native SaaS, Epic EMR, Enterprise Data Platform and cross-domain collaboration
• Quality & Resilience: conduct testing, debugging, and code reviews ensuring scalable integration layer
• Stakeholder Leadership: act as technical consultant to Product and Business leads and refine requirements
• Innovation & AI: explore tools/frameworks and leverage AI/ML for automation
• Documentation & Governance: create architecture diagrams and best practices for platform self-service
• Self Starter: handle ambiguity by asking questions to align with stakeholders' needs

Skills

SQL

Python

Dimensional data modeling

Data warehousing

Relational databases

Data quality troubleshooting

Communication skills

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

Tools

Cloud integration tooling

Job description

CVS Health in Colorado is seeking a senior Data Engineer to design, build, and optimize digital data platforms. You will work with SQL, Python, and cloud/on-prem warehousing to improve payer metadata and contracts.

Collaborate with product teams, architect end-to-end data integration, and drive data quality, performance, and governance. This role emphasizes problem solving in a fast-paced environment, with opportunities to apply AI/ML techniques and contribute to platform self-service