Data Engineer, AI/ML Data Foundations

Medtronic; Louisiana (MO); On-site; USD 89,000 - 133,000; Full time

Benefits offered by this job

Health insurance

Dental and vision

401(k) with employer match

Paid time off

Tuition assistance

Job summary

Medtronic CST in the United States is seeking a Data Engineer to build and manage data foundations supporting AI and ML across surgical planning, navigation, and robotics initiatives.

You will lead data acquisition, annotation operations, and governance, collaborating with AI, product development, software, clinical, and regulatory teams to ensure scalable, compliant data assets for algorithm development and validation.

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 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.
• Medical imaging experience.
• AWS or cloud-based infrastructure experience.
• Experience with Snowflake or similar data platforms.
• Exposure to AI, machine learning, or data science 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 wrangling

AI tools

Large datasets

Education

Bachelor’s degree or Master’s degree

Tools

Snowflake

AWS

Job description

Medtronic CST in the United States is seeking a Data Engineer to build and manage data foundations supporting AI and ML across surgical planning, navigation, and robotics initiatives.

You will lead data acquisition, annotation operations, and governance, collaborating with AI, product development, software, clinical, and regulatory teams to ensure scalable, compliant data assets for algorithm development and validation.