Senior Data Engineer: AI-Powered Data Pipelines & Governance

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

Benefits offered by this job

Onsite work model

Job summary

Boston Scientific AIS R&D is seeking a Senior Data Engineer to design and build data pipelines that power AI-enabled engineering workflows. You will own data curation, indexing quality and pipeline reliability across engineering data sources, ensuring knowledge is current, trusted, and AI-accessible.

You will collaborate with AI Solutions Architects and Delivery teams to enforce data governance, integration patterns, and scalable pipeline approaches across Windchill, Jira, GitLab and AWS.

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

SQL

Cloud data platforms

ETL/ELT frameworks

Governance

Regulated environment

Education

Bachelor's or master's in CS/data engineering or related

Tools

AWS

Snowflake

Databricks

Windchill

Jira

GitLab

Job description

Boston Scientific AIS R&D is seeking a Senior Data Engineer to design and build data pipelines that power AI-enabled engineering workflows. You will own data curation, indexing quality and pipeline reliability across engineering data sources, ensuring knowledge is current, trusted, and AI-accessible.

You will collaborate with AI Solutions Architects and Delivery teams to enforce data governance, integration patterns, and scalable pipeline approaches across Windchill, Jira, GitLab and AWS.