Senior Data Engineer — AI Pipelines & Data Governance

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

Job summary

Boston Scientific Corporation invites a Senior Data Engineer to join the AIS R&D AI Transformation core team in Arden Hills. You will design and operate data pipelines powering AI-enabled engineering workflows, owning data curation, quality and governance across engineering sources in a regulated environment.

Collaborate with AI architects and delivery teams to ensure AI-ready data and compliant data practices.

Qualifications

• Bachelor's or master's degree in computer science, data engineering, data science or a related technical field.
• Minimum of 7 years' experience designing, building and operating production data pipelines.
• Strong experience with data curation, indexing and data quality frameworks at enterprise scale.
• Experience with modern cloud data platforms (e.g., AWS, Snowflake, Databricks) and ETL/ELT frameworks.
• Advanced SQL skills and experience optimizing large-scale analytical or operational datasets.
• Experience implementing data governance practices, including metadata management, lineage and data quality controls.
• Experience working in a regulated, enterprise-scale environment with security, compliance and quality requirements.

Responsibilities

• Design and build data pipelines that ingest, curate and index engineering data sources to support AI-enabled workflows.
• Own data curation, indexing quality and pipeline reliability across all in-scope engineering data sources.
• Ensure engineering knowledge — requirements, design history files, test data, quality records and related artifacts — is current, trusted and AI-accessible.
• Define and enforce data quality checks, schemas and governance practices for operational AI systems.
• Partner with the AI Solutions Architect on the context layer, versioned prompt/agent specification library and retrieval architecture.
• Partner with the AI Solutions Delivery role and Enterprise AI/IT on integration patterns across engineering systems (e.g., Windchill, Jira, GitLab, AWS).
• Scale pipeline reliability and indexing coverage as additional workflows move from pilot to production.
• Support evaluation-harness data needs, including test data preparation and data-quality regression checks.
• Contribute to a culture of ownership, experimentation and data-driven decision-making.

Skills

Data pipelines

Data curation

Data quality

AWS

SQL

Data governance

Regulated environment

Education

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

Tools

Windchill

Jira

GitLab

Snowflake

Databricks

Job description

Boston Scientific Corporation invites a Senior Data Engineer to join the AIS R&D AI Transformation core team in Arden Hills. You will design and operate data pipelines powering AI-enabled engineering workflows, owning data curation, quality and governance across engineering sources in a regulated environment.

Collaborate with AI architects and delivery teams to ensure AI-ready data and compliant data practices.