Director leading strategy, governance, and delivery of enterprise data platform at Phillips 66. Partnering with AI, Data Science, and business teams to enhance analytics and business systems.
About the role
- Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data-driven decisions with healthcare data for improved business outcomes.
Responsibilities
- Build and optimize analytical data models in BigQuery.
- Implement partitioning, clustering, and materialized views for performance and cost efficiency.
- Ensure compliance with data governance, access controls, and IAM best practices.
- Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches.
- Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.
- Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows.
- Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.
Requirements
- 1+ years of experience with SQL, NoSQL
- 1+ years of experience with Python (or a comparable scripting language)
- 1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
- 1+ years of experience with ETL/ELT, and building high-volume data pipelines
- 1+ years of experience with reporting/analytic tools
- 1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
- 1+ years of experience with Big data and cloud architecture
- 1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)
- 1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
- 1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)
Benefits
- 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
- Paid time off
- Flexible work schedules
- Family leave
- Dependent care resources
- Colleague assistance programs
- Tuition assistance
- Retiree medical access
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