Senior Data Engineer - ML - Pharmacy

Job Title

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.

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 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.

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.).

Required Qualifications

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).

5+ years of relevant work experience

Preferred Qualifications

GCP 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 $101,970.00 - $203,940.00

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 our comprehensive and competitive mix of pay and benefits investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

We anticipate the application window for this opening will close on: 10/27/2025

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