Senior Software Engineer, Health IT & AI-Driven Data

CVS Health; Salem (NH); On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health in the United States is seeking a data engineering professional to design, develop, and optimize digital solutions for Payer Operations. You will bridge cloud-native SaaS with clinical and data platforms, building scalable integration patterns and data pipelines.

The role requires strong SQL, data modeling, and Python skills, the ability to work with stakeholders, and a willingness to drive AI-enabled automation while delivering reliable, well-documented architectures.

Qualifications

• 5+ years of experience with SQL and relational databases.
• Experience with dimensional data modeling and data warehousing.
• Proficiency in SQL and Python for cloud-based and on-prem data warehousing.
• Strong troubleshooting of data issues and performance improvements.
• Excellent communication skills.

Responsibilities

• Architect and build end-to-end integration patterns across cloud-native SaaS and clinical systems.
• Test, debug, and ensure reliability and scalability of the integration layer.
• Advise product and business leads as a technical consultant.
• Explore AI/ML tools to drive innovation and automation.
• Create architecture diagrams and governance materials for self-service platforms.

Skills

SQL

Data modeling

Python

Data warehousing

Troubleshooting data

Performance optimization

Communication

Self-starter

Education

Bachelor's degree in CS/IT

Advanced degree or certifications

Job description

CVS Health in the United States is seeking a data engineering professional to design, develop, and optimize digital solutions for Payer Operations. You will bridge cloud-native SaaS with clinical and data platforms, building scalable integration patterns and data pipelines.

The role requires strong SQL, data modeling, and Python skills, the ability to work with stakeholders, and a willingness to drive AI-enabled automation while delivering reliable, well-documented architectures.