Healthcare Data Engineer: AI & Cloud Integrations

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

Job summary

CVS Health in the United States is seeking a Senior Data Engineer to design, develop, and implement digital solutions for Payer Operations, aiming to enrich payer metadata, automate lifecycle contracts, and measure payer performance.

You will architect end-to-end integration patterns, ensure quality and resilience, collaborate with product teams, explore AI opportunities, and document designs to enable platform self-service.

Qualifications

• 5+ years of experience with SQL and relational DBMS.
• Hands-on experience with dimensional data modeling, schema design, and data warehousing.
• Programming in SQL, Python, and related languages for cloud/on-prem data warehousing.
• Hands-on troubleshooting of data issues.
• Experience with performance improvement techniques and optimization.
• Willingness to drive process improvements in a fast-paced, collaborative environment.
• Excellent oral and written communication skills.

Responsibilities

• Architect and Build end-to-end integration patterns bridging cloud-native SaaS, Epic EMR, and Enterprise Data Platform.
• Conduct system testing, debugging, and peer code reviews ensuring reliability and scalable integration layers.
• Act as technical consultant to Product and Business leads; refine requirements and design patterns.

Skills

SQL

Dimensional modeling

Data warehousing

Python

Troubleshooting data

Performance optimization

Process improvement

Communication skills

Education

Bachelor’s degree in Computer Science or Information Technology

Advanced degree or certifications (plus)

Job description

CVS Health in the United States is seeking a Senior Data Engineer to design, develop, and implement digital solutions for Payer Operations, aiming to enrich payer metadata, automate lifecycle contracts, and measure payer performance.

You will architect end-to-end integration patterns, ensure quality and resilience, collaborate with product teams, explore AI opportunities, and document designs to enable platform self-service.