Data Engineer: AI/ML Data Foundations for Healthcare

Medtronic

Lafayette (CO)

On-site

USD 89,000 - 133,000

Full time

36 hours ago
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Benefits offered by this job

Health insurance
401(k) plan
Tuition assistance
Employee stock purchase plan

Job summary

Medtronic CST in the United States is seeking a Data Engineer to build scalable data foundations that support AI and machine learning across surgical planning, navigation, and robotics programs. You will lead data acquisition, annotation operations, quality processes, and data governance with cross-functional teams to ensure data assets are scalable, compliant, and ready for algorithm development.

You will collaborate with AI and Product Development teams to define data requirements, improve

Qualifications

  • Bachelor’s degree with 2 years of relevant experience OR Master’s degree.
  • Experience working with and manipulating large-scale datasets.
  • Experience with data-focused programming language (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 AI/ML 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 and licensing requirements.
  • Generate data-driven analyses, metrics, and recommendations that inform research, development, and technology investment decisions.

Skills

Data acquisition
Data governance
Python/SQL
Data modeling
AI/ML tooling

Education

Bachelor’s degree with 2 years experience OR Master’s degree

Tools

Snowflake
AWS

Job description

Medtronic CST in the United States is seeking a Data Engineer to build scalable data foundations that support AI and machine learning across surgical planning, navigation, and robotics programs. You will lead data acquisition, annotation operations, quality processes, and data governance with cross-functional teams to ensure data assets are scalable, compliant, and ready for algorithm development.

You will collaborate with AI and Product Development teams to define data requirements, improve

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