Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
About the role
- Senior Data Engineer at CVS Health developing robust data pipelines for healthcare data. Collaborating with teams to provide actionable insights and integrate them with consumer touchpoints.
Responsibilities
- Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases
- Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions)
- 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
- Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns
- Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment
- Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog
Requirements
- 3+ years of experience with SQL, NoSQL
- 3+ years of experience with Python (or a comparable scripting language)
- 3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
- 3+ years of experience with ETL/ELT, and building high-volume data pipelines
- 3+ years of experience with reporting/analytic tools
- 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
- 3+ years of experience with Big data and cloud architecture
- 3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)
- 3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
- 3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)
- 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
- 1+ year(s) of experience independently managing deliverables
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 and many other benefits depending on eligibility
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