Senior Data Engineer - AI-Powered Data Pipelines

Boston Scientific; Arden Hills (MN); On-site; USD 85,000 - 162,000; Full time

Job summary

Boston Scientific is seeking a Senior Data Engineer for its AIS R&D AI Transformation core team in the United States. You will design and implement data pipelines, curate data assets, and ensure governance, quality, and AI-accessibility across engineering data sources.

Work closely with the AI Solutions Architect to align data sources with retrieval-augmented generation and agentic AI workflows, while complying with security and quality requirements in a regulated product environment.

Qualifications

• Bachelor's or master's in CS, data engineering, data science or related field.
• 7+ years designing, building and operating production data pipelines.
• Experience with data curation, indexing and data quality at enterprise scale.

Responsibilities

• Design and build data pipelines ingesting, curating and indexing engineering data sources for AI-enabled workflows.
• Own data curation, indexing quality and pipeline reliability across all data sources.
• Ensure knowledge artifacts - requirements, design history, test data, quality records - are current, trusted and AI-accessible.
• Define and enforce data quality checks, schemas and governance for operational AI systems.
• Partner with AI Solutions Architect on context layer and retrieval architecture.
• Collaborate on integration patterns across engineering systems (Windchill, Jira, GitLab, AWS).
• Scale pipeline reliability and indexing coverage as workflows move from pilot to production.
• Support evaluation-harness data needs, including test data preparation and data-quality checks.

Skills

Data pipelines

SQL

Cloud data platforms

ETL/ELT

Data governance

Regulated environment

Education

Bachelor's or master's degree in computer science, data engineering, data science or related field

Tools

AWS

Snowflake

Databricks

Windchill

Jira

GitLab

Job description

Boston Scientific is seeking a Senior Data Engineer for its AIS R&D AI Transformation core team in the United States. You will design and implement data pipelines, curate data assets, and ensure governance, quality, and AI-accessibility across engineering data sources.

Work closely with the AI Solutions Architect to align data sources with retrieval-augmented generation and agentic AI workflows, while complying with security and quality requirements in a regulated product environment.