Data Engineer, GCP
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Job Description
CVS Health Data Engineer building GCP and BigQuery pipelines from clinical and operational healthcare data. Supporting ETL, cloud modernization, governance, reporting, and analytics.
Responsibilities:
- Design, build, and support scalable data pipelines, data models, and analytical data assets
- Enable clinical, operational, financial, and strategic decision-making across CVS Health healthcare delivery organizations
- Support enterprise analytics initiatives spanning MinuteClinic, Virtual Care, Behavioral Health, Oak Street Health, and other healthcare domains
- Partner with data engineers, analytics teams, business stakeholders, clinicians, and product owners
- Ingest, transform, and deliver data from Epic Clarity, Epic Caboodle, Workday, retail healthcare platforms, vendor systems, and other enterprise sources into GCP and BigQuery analytics environments
- Develop automated ETL/ELT pipelines
- Support cloud modernization initiatives
- Maintain production data operations
- Ensure data quality and governance standards
- Enable advanced analytics, AI, and reporting solutions
- Solve healthcare data challenges including large-scale data migration, clinical and operational data integration, pipeline automation, reporting modernization, production support, and reliable data product delivery
- Support patient care, operational excellence, regulatory reporting, and business growth
Requirements:
- Bachelor's degree or equivalent work experience in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Data Science, Analytics, or a related field
- 4+ years of experience in Data Engineering, ETL Development, Analytics Engineering, Business Intelligence, or related technical roles
- 3+ years of hands-on SQL development experience
- 2+ years of experience building and supporting ETL/ELT pipelines
- Experience with Google Cloud Platform (GCP)
- Experience developing solutions using Python, PySpark, Spark, or similar data engineering technologies
- Experience with orchestration and scheduling tools such as Airflow, Control-M, Tidal, or equivalent
- Experience with relational database platforms such as SQL Server, PostgreSQL, BigQuery, Snowflake, or similar technologies
- Experience designing, developing, and supporting large-scale data integration solutions
- Experience with source control and CI/CD practices
- Experience troubleshooting and supporting production data pipelines
- Experience implementing data quality validation, reconciliation, and monitoring processes
- Experience supporting healthcare, clinical, financial, or operational reporting environments
- Preferred experience with Epic Clarity, Epic Caboodle, Cogito Data Model, or healthcare EHR data platforms
- Preferred experience supporting healthcare analytics, population health, quality reporting, revenue cycle, provider operations, or clinical reporting environments
- Understanding of Epic healthcare data structures, healthcare data workflows, and healthcare business processes
- Experience supporting GCP data services including BigQuery, Composer (Airflow), Dataflow, Dataproc, Cloud Storage, and related technologies
- Experience with AI-enabled software development, automation, or data engineering solutions
- Strong analytical and problem-solving skills
- Ability to communicate effectively with technical and non-technical stakeholders
- Experience working in Agile and product-based delivery models
- Ability to balance multiple priorities while maintaining high-quality deliverables
- Strong documentation, knowledge-sharing, and collaboration skills
- Experience mentoring junior engineers and contributing to engineering best practices
- Experience with data governance, metadata management, and data lineage concepts
- Experience supporting large-scale data migration, cloud modernization, or reporting modernization initiatives
- Master's degree preferred
Benefits:
- CVS Health bonus, commission or short-term incentive program in addition to the base pay range
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being, based on eligibility
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