Healthcare Data Engineer for AI & ML

Medtronic; La Fayette (KY); On-site; USD 89,000 - 133,000; Full time

Benefits offered by this job

Health, dental and vision insurance

401(k) plan with company match

Tuition assistance/reimbursement

Paid time off & holidays

Employee Stock Purchase Plan

Job summary

Medtronic CST is seeking a Data Engineer to build and manage data foundations that enable AI and ML across surgical planning, navigation, and robotics. The role leads data acquisition, annotation operations, quality processes, and data governance to ensure scalable, compliant data assets for algorithm development and validation.

This position partners with AI/product development, systems engineering, clinical, regulatory, and data science teams to define data requirements and maintain data

Qualifications

• Bachelor’s degree with 2 years of relevant experience or Master’s degree.
• Experience working with and manipulating large-scale datasets in either academic or industry settings.
• Experience with data-focused programming languages (Python or SQL preferred).
• Ability to manipulate, organize, and prepare data from multiple sources.
• Experience using AI tools in professional, academic, or research environments.

Responsibilities

• Lead data acquisition, curation, and preparation activities to support research and product development programs.
• Design and implement data collection strategies, protocols, and workflows for clinical, laboratory, internal, and external data sources.
• Manage internal and external annotation programs and partners to deliver high-quality labeled datasets at scale.
• Establish and maintain data quality standards, validation processes, and governance practices to improve reliability, integrity, and traceability.
• Partner with researchers, software engineers, and algorithm developers to define data requirements for artificial intelligence and machine learning initiatives.
• Support database administration, organization, and accessibility of structured and unstructured datasets used across development programs.
• Collaborate with Legal, Regulatory, and Clinical stakeholders to ensure datasets meet compliance, licensing, privacy, and documentation requirements.
• Generate data-driven analyses, metrics, and recommendations that inform research, development, and technology investment decisions.

Skills

Python

SQL

Data manipulation

AI tools

Large-scale datasets

Education

Bachelor’s degree with 2 years of relevant experience

Master’s degree

Tools

Snowflake

Cloud platforms

Job description

Medtronic CST is seeking a Data Engineer to build and manage data foundations that enable AI and ML across surgical planning, navigation, and robotics. The role leads data acquisition, annotation operations, quality processes, and data governance to ensure scalable, compliant data assets for algorithm development and validation.

This position partners with AI/product development, systems engineering, clinical, regulatory, and data science teams to define data requirements and maintain data