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Senior Data Engineer
- Wellesley, Massachusetts, United States
- Wellesley, Massachusetts, United States
Über
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 related skills.
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
Benefits We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our 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.
Compensation 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.
Full time, 40 hours per week.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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Sprachkenntnisse
- English
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