Senior Data Engineer

CVS HealthIrving, TX

About The Position

CVS Health is building a world of health around every individual, aiming to create a more connected, convenient, and compassionate health experience. The company fosters an environment where colleagues are passionate, innovative, accountable, and prioritize safety and quality. Joining CVS Health means being part of an effort to simplify health care for individuals, families, and communities.

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 experience with machine learning pipelines on GCP (Vertex AI, AI Platform, etc.).

Nice To Haves

  • 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).

Responsibilities

  • 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.

Benefits

  • medical coverage
  • dental coverage
  • vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • other resources, based on eligibility
  • CVS Health bonus, commission or short-term incentive program
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