CVS Health-posted 3 months ago
$101,970 - $203,940/Yr
Full-time • Mid Level

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.

  • 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.).
  • 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).
  • 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.
  • 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.
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