Senior Data Engineer, CVS Health

CVS Health

Location:
United States, Hartford

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

101970.00 - 203940.00 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.

Job Responsibility:

Design, build, and maintain scalable data pipelines using Cloud Dataflow, Apache Beam, Apache Spark, or BigQuery
Develop ETL/ELT workflows for data ingestion, transformation, and processing using Cloud Composer (Airflow), TIDAL, Dataform, or custom scripts
Optimize BigQuery performance through partitioning, clustering, and query tuning
Implement data governance, security, and compliance best practices within GCP
Work with Cloud Storage, Pub/Sub, Ni-Fi, Cloud SQL and Bigtable for real-time and batch data processing
Monitor and troubleshoot data pipeline performance, failures, and cost efficiency
Collaborate with data scientists, analysts, and software engineers to support business requirements
Ensure data quality, validation, and integrity using appropriate testing frameworks

Requirements:

Strong expertise in GCP services (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Bigtable, Firestore, etc.)
Proficiency in SQL, Python, and Java for data processing and automation
Experience with ETL/ELT workflows using Cloud Composer, Dataflow, or Dataform
Strong understanding of data modeling, warehousing, and distributed computing
Experience with real-time and batch processing architectures
Knowledge of CI/CD pipelines, Git, and DevOps best practices
Understanding of security and compliance standards (IAM, encryption, GDPR, HIPAA, etc.)
5+ years of relevant work experience
Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)

Nice to have:

Experience with machine learning pipelines on GCP (Vertex AI, AI Platform, etc.)
Exposure to Kafka, Ni-Fi, or other streaming technologies
Experience with containerization and orchestration (Docker, Kubernetes, GKE)
GCP certifications (e.g., Professional Data Engineer, Associate Cloud Engineer)

What we offer:

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost 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:
October 09, 2025

Expiration:
October 27, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Engineer