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Senior Data Engineer
CVS HealthSenior Data Engineer at CVS Health, developing and maintaining scalable cloud-native data pipelines and microservices. Collaborating across teams to deliver AI-enabled data solutions with a focus on cloud technologies.
Posted 5/22/2026full-timeIrving • Massachusetts, New York, Texas • 🇺🇸 United StatesSenior💰 $92,700 - $222,480 per yearWebsite
Tech Stack
Tools & technologiesAWSAzureBigQueryCloudFlaskGoogle Cloud PlatformMicroservicesPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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)
- Solid knowledge of data ingestion and integration patterns
- Advanced SQL skills for data analysis and pipeline development
- Experience working with AI-based workflows
Benefits
Comp & perks- medical, dental, and vision coverage
- paid time off
- retirement savings options
- wellness programs
- other resources, based on eligibility
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonFlaskFastAPISQLBigQuerycloud-native architecturesdata ingestiondata integrationAI workflowsmicroservices
Soft Skills
collaborationcommunicationproblem-solvingcontinuous improvementautomation