Data Engineer

Medtronic•Lafayette, CO

3d•$88,800 - $133,200

About The Position

The Data Engineer will build and manage data foundations supporting advanced algorithms and AI and machine learning development across surgical planning, navigation, and robotics programs within Medtronic CST’s Research and Technology organization. The role partners with systems, software, clinical, regulatory, marketing, and data science stakeholders to make data assets scalable, compliant, traceable, and suitable for algorithm development and validation. The position leads data acquisition, curation, annotation operations, quality processes, and data governance. It also supports database administration, data-focused analysis, and decisions across research and product development programs. The anticipated application window closes October 27, 2026.

Requirements

Bachelor’s degree with 2 years of relevant experience, or a master’s degree.
Experience working with and manipulating large-scale datasets in an academic or industry setting.
Experience with a 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.

Nice To Haves

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.
For baccalaureate degrees earned outside the United States, a degree satisfying the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A).

Responsibilities

Lead data acquisition, curation, and preparation for research and product development programs.
Design and execute data collection strategies, protocols, and workflows for clinical, laboratory, internal, and external data sources.
Manage internal and external annotation programs, partners, and clinical experts to deliver high-quality labeled datasets at scale.
Establish and maintain data quality standards, validation processes, and governance practices to improve data reliability, integrity, and traceability.
Partner with AI, product development, researchers, software engineers, and algorithm developers to define data requirements for AI and machine learning initiatives.
Support database administration and organize structured and unstructured datasets to improve accessibility 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 to inform research, development, and technology investment decisions.
Use data development and management tools, including AI tooling.
Work with internal and external providers to manage the R&D database and support engineers’ R&D data acquisition needs.
Coordinate data collection with clinical teams for clinical trials.
Support other programs and initiatives as assigned.

Benefits

Competitive salary and flexible benefits package.
Health insurance.
Dental insurance.
Vision insurance.
Health Savings Account.
Healthcare Flexible Spending Account.
Life insurance.
Long-term disability leave.
Dependent daycare spending account.
Tuition assistance or reimbursement.
Simple Steps global well-being program.
Incentive plans, including eligibility for the Medtronic Incentive Plan short-term incentive.
401(k) plan with employer contribution and match.
Short-term disability.
Paid time off.
Paid holidays.
Employee Stock Purchase Plan.
Employee Assistance Program.
Non-qualified Retirement Plan Supplement, subject to IRS earning minimums.