Senior Data Engineer, CVS Health

CVS Health

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

101970.00 - 222480.00 USD / Year

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Job Description:

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Job Responsibility:

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
Utiilize 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:

3+ years of experience with SQL, NoSQL
3+ years of experience with Python (or a comparable scripting language)
Work on developing and maintaining applications built on the Pega platform
Understand the requirements and design of the applications
Write code in Java and JavaScript programming languages
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

Nice to have:

Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Knowledge of API development
Experience with complex systems and solving challenging analytical problems
Strong collaboration and communication skills within and across teams
Knowledge of data visualization and reporting
Experience with schema design and dimensional data modeling
Google Professional Data Engineer Certification
Knowledge of microservices and SOA
Formal SAFe and/or agile experience
Previous healthcare experience and domain knowledge
Experience designing, building, and maintaining data processing systems
Experience architecting and building data warehouse and data lakes

What we offer:

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Additional Information:

Job Posted:
July 23, 2025

Expiration:
September 29, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Engineer