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CVS Health

Senior Data Engineer

CVS Health

Senior 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 & technologies
AWSAzureBigQueryCloudFlaskGoogle 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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Hard Skills & Tools
PythonFlaskFastAPISQLBigQuerycloud-native architecturesdata ingestiondata integrationAI workflowsmicroservices
Soft Skills
collaborationcommunicationproblem-solvingcontinuous improvementautomation