Senior Software Engineer, Healthcare Data & AI Integrations

CVS Health; California City (CA); 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 software engineer to design and implement digital solutions for Payer operations and data pipelines. You will architect end-to-end patterns across cloud-native SaaS, Epic EMR, and the data platform, collaborating with cross-functional teams to deliver scalable solutions.

The role emphasizes testing, reviews, and governance, with opportunities to apply AI/ML to automate workflows. A strong foundation in SQL, data warehousing, and Python is required.

Qualifications

• 5+ years in SQL and relational data systems.
• Experience with dimensional modeling and data warehousing.
• Proficient in Python and SQL for cloud/on-prem data services.
• Strong troubleshooting and performance tuning skills.
• Ability to work in fast-paced, cross-functional teams.
• Excellent written and verbal communication.

Responsibilities

• Design end-to-end integration patterns across cloud-native SaaS and Epic EMR.
• Conduct testing, debugging, and code reviews for reliability.
• Lead with Product and Business leads to refine requirements.
• Explore AI/ML tools to drive intelligent automation.
• Create architecture diagrams and governance documentation.
• Handle ambiguous requirements with proactive stakeholder questions.

Skills

SQL

Relational databases

Data modeling

Data warehousing

Python

Troubleshooting

Communication skills

Ambiguity handling

Education

Bachelor’s degree in Computer Science or related field

Tools

Epic EMR

Data warehousing tools

Job description

CVS Health in the United States is seeking a software engineer to design and implement digital solutions for Payer operations and data pipelines. You will architect end-to-end patterns across cloud-native SaaS, Epic EMR, and the data platform, collaborating with cross-functional teams to deliver scalable solutions.

The role emphasizes testing, reviews, and governance, with opportunities to apply AI/ML to automate workflows. A strong foundation in SQL, data warehousing, and Python is required.