Senior Data Engineer
About The Position
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 We are seeking a Senior Data Engineer with a proven track record in delivering scalable cloud-native data pipelines, microservices, and AI-driven workflow orchestration to enable advanced analytics and intelligent automation.
Requirements
- 5+ years of hands-on experience as a Data Engineer, preferably in cloud environments
- Proficiency in Python, with experience in Flask or FastAPI for API development
- Strong understanding of microservices and cloud-native architectures (GCP preferred, Azure/AWS acceptable)
- Knowledge of data ingestion and integration patterns
- Advanced SQL skills for data analysis and pipeline development
- Experience working with AI-based workflows
- Bachelor’s degree in Engineering, Computer Science, or a related field required
Nice To Haves
- Experience with orchestration tools such as Airflow or Dataflow
- Knowledge of CI/CD and DevOps practices for data engineering
- Experience with other cloud services (e.g., Pub/Sub, Cloud Functions, Vertex AI, Azure Data Factory, AWS Glue).
- AI assisted Development with Copilot, Cursor AI, or Claude Code and skills in general
- Master’s degree with a focus on data, AI, or advanced analytics preferred
Responsibilities
- Design, develop, and maintain scalable cloud-native data pipelines and microservices (GCP preferred; Azure/AWS acceptable)
- Build and optimize data ingestion, integration, and processing frameworks across diverse structured and unstructured data sources
- Develop Python-based APIs (Flask/FastAPI) to enable seamless data access, model integration, and service orchestration
- Implement advanced SQL-based analytics and transformations in BigQuery or other cloud data warehouse platforms
- Architect, deploy, and manage AI/agentic workflows to support intelligent automation and decisioning
- Orchestrate AI-driven pipelines integrating LLMs, agents, and data services for end-to-end workflow automation
- Drive automation and continuous improvement of data operations using AI-powered orchestration and monitoring
- Collaborate with cross-functional teams (Data Science, ML, and Product) to deliver scalable, secure, and production-grade AI-enabled data solutions.
- Ensure best practices in data engineering and AI systems, including code quality, testing, observability, and documentation.
Benefits
- medical
- dental
- vision coverage
- paid time off
- retirement savings options
- wellness programs
- CVS Health bonus, commission or short-term incentive program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
