Data Engineer with GCP experience

About this role

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

The Data Engineer is responsible for designing, building, and supporting scalable data pipelines, data models, and analytical data assets that enable clinical, operational, financial, and strategic decision-making across CVS Health's healthcare delivery organizations. This role supports enterprise analytics initiatives spanning MinuteClinic, Virtual Care, Behavioral Health, Oak Street Health, and additional healthcare business domains. The position partners closely with data engineers, analytics teams, business stakeholders, clinicians, and product owners to deliver trusted, high-quality data solutions.

The team manages the ingestion, transformation, and delivery of data from Epic Clarity, Epic Caboodle, Workday, retail healthcare platforms, vendor systems, and other enterprise data sources into Google Cloud Platform (GCP) and BigQuery-based analytics environments. This includes developing automated ETL/ELT pipelines, supporting cloud modernization initiatives, maintaining production data operations, ensuring data quality and governance standards, and enabling advanced analytics, AI, and reporting solutions.

This role will help solve complex healthcare data challenges including large-scale data migration, integration of clinical and operational datasets, pipeline automation, reporting modernization, production support, and the delivery of reliable data products that support patient care, operational excellence, regulatory reporting, and business growth.

Required Qualifications

• Bachelor's degree or e...