Senior 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.

Position Summary

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 Google Cloud Platform.

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.

Strong expertise in Google Cloud Platform 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.).

Required Qualifications Experience with machine learning pipelines on Google Cloud Platform (Vertex AI, AI Platform, etc.).

Exposure to Kafka, Ni-Fi, or other streaming technologies.

Experience with containerization and orchestration (Docker, Kubernetes, GKE).

Preferred Qualifications

Google Cloud Platform certifications (e.g., Professional Data Engineer, Associate Cloud Engineer).

Education

Bachelor's degree or, equivalent experience (HS diploma + 4 years relevant experience)

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$92,700.00 - $185,400.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 04/13/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.