Senior Data Engineer

Senior Data Engineer

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)
• 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
• 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

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

40

Time Type

Full time

Pay Range

$92,700.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.