Senior Data Engineer

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
• Claude Code and skills in general Education Bachelor’s degree in Engineering, Computer Science
• a related field required Master’s degree with a focus on data, AI
• advanced analytics preferred Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $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.
• Additional details about available benefits are provided during the application process and on Benefits Moments .
• We anticipate the application window for this opening will close on: 06/16/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.