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 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...