Data Engineer

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.

If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.

As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.

• Build and optimize analytical data models in Big Query. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.

• Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.

• Build automated CI/CD pipeline using Cloud Build, Git Hub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.

• 1+ years of experience with SQL, No
  
  SQL

• 1+ years of experience with Python (or a comparable scripting language)

• 1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components

• 1+ years of experience with ETL/ELT, and building high-volume data pipelines

• 1+ years of experience with reporting/analytic tools

• 1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management

• 1+ years of experience with Big data and cloud architecture

• 1+ years of hands‑on experience building modern data pipelines within a major cloud platform (GCP)

• 1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)

• 1+ years of experience with real‑time and streaming technology (i.e. Kafka, Spark Streaming)

• 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders

• Experience with complex systems and solving challenging analytical problems

• Strong collaboration and communication skills within and across teams

• K…