Healthcare Data & Cloud AI Integration Engineer

CVS Health

California

On-site

USD 83,000 - 222,000

Full time

6 days ago
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Job summary

CVS Health in California seeks a Senior Data Engineer to design, develop, and implement digital data solutions, architecting end-to-end data pipelines bridging cloud-native SaaS with Epic EMR data and the enterprise data platform to enrich payer metadata and automate workflows. The role requires 5+ years in SQL, data warehousing, Python, and strong communication.

You will collaborate with product and business teams, improve performance, and support HIPAA compliance while delivering scalable

Qualifications

  • 5+ years of experience with SQL and relational databases
  • Hands-on with dimensional data modeling, schema design, and data warehousing
  • Programming in SQL, Python, and related languages for cloud and on-prem data warehousing
  • Troubleshooting data issues and applying performance improvement techniques
  • Willingness to implement process improvements and take ownership in a fast-paced environment
  • Excellent written and verbal communication skills

Responsibilities

  • Architect and build end-to-end integration patterns bridging cloud-native SaaS and core clinical systems
  • Conduct system testing, debugging, and code reviews to ensure reliability and scalability
  • Act as a technical consultant to Product and Business leads and refine requirements
  • Explore AI/ML tools to drive innovation and intelligent automation
  • Create and maintain system designs, architecture diagrams, and governance documentation
  • Work with ambiguity, asking stakeholders questions to develop effective solutions

Skills

SQL
Dimensional data modeling
Data warehousing
Python
Troubleshooting data issues
Performance optimization
Process improvements
Communication

Education

Bachelor’s degree in Computer Science / IT or related field

Job description

CVS Health in California seeks a Senior Data Engineer to design, develop, and implement digital data solutions, architecting end-to-end data pipelines bridging cloud-native SaaS with Epic EMR data and the enterprise data platform to enrich payer metadata and automate workflows. The role requires 5+ years in SQL, data warehousing, Python, and strong communication.

You will collaborate with product and business teams, improve performance, and support HIPAA compliance while delivering scalable

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