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
40Time Type
Full timePay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00This 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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
