Senior Data Engineer
CVS HealthAbout the role
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.
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.
Required Qualifications
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
Preferred Qualifications
Experience with orchestration tools such as Airflow or Dataflow
Familiarity with MLOps and deploying machine learning models
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).
Understanding of RAG-based (Retrieval-Augmented Generation) knowledge systems and MCP (Model Context Protocol) for real world interaction
AI assisted Development with Copilot, Cursor AI, or Claude Code and skills in general
Education
Bachelor’s degree in Engineering, Computer Science, or a related field required
Master’s degree with a focus on data, AI, or advanced analytics preferred
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$92Apply for this role
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