Senior Data Engineer

CVS Health

Senior Data Engineer at CVS Health designing and developing data pipelines for healthcare data. Collaborating on complex data challenges and leveraging cloud engineering technologies.

Posted 5/6/2026full-timeWellesley • Connecticut, Massachusetts, Ohio, Vermont • 🇺🇸 United StatesSenior💰 $83,430 - $222,480 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudETLGoogle Cloud PlatformJavaJenkinsKafkaKubernetesNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases.
Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).
Build and optimize analytical data models in BigQuery.
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, GitHub 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.
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns.
Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment.
Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.

Requirements

What you’ll need

3+ years of experience with SQL, NoSQL
3+ years of experience with Python (or a comparable scripting language)
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
3+ years of experience with ETL/ELT, and building high-volume data pipelines
3+ years of experience with reporting/analytic tools
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
3+ years of experience with Big data and cloud architecture
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
1+ year(s) of experience independently managing deliverables

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTSQLNoSQLPythonData modelingQuery optimizationBig dataCloud architectureData pipelines

Soft Skills

leadershipmentoringrelationship managementstakeholder managementcode qualitycost optimizationdata securitycommunicationorganizational skillsinitiative driving