Principal Data Engineer - AI Program

Mayo Clinic•Rochester, MN

7h•$155,501 - $225,493•Remote

About The Position

The Senior Data Engineer - AI Program develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired design functionality for products and programs. The position requires maintaining an understanding of the organization's current solutions, coding languages, tools, and regularly requires the application of independent judgment. Will provide consultative services to departments/divisions and leadership committees. Demonstrated experience designing, building, and operating large-scale healthcare data platforms and data ecosystems, including the movement, transformation, and optimization of structured and unstructured clinical, operational, and research data across on-premises and cloud environments. Candidate will partner with product owners, clinical stakeholders and AI/ML experts to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to support the creation of agentic systems and the build of state-of-the-art multi-modal foundation models. Candidate will provide technical leadership in architecting scalable, cost-efficient data solutions, optimizing data movement and storage strategies, and ensuring secure, compliant access to healthcare data assets across hybrid and multi-cloud environments. This is a full-time remote position within the United States. Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.

Requirements

Demonstrated experience designing, building, and operating large-scale healthcare data platforms and data ecosystems, including the movement, transformation, and optimization of structured and unstructured clinical, operational, and research data across on-premises and cloud environments.
Experience partnering with product owners, clinical stakeholders and AI/ML experts to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to support the creation of agentic systems and the build of state-of-the-art multi-modal foundation models.
Experience providing technical leadership in architecting scalable, cost-efficient data solutions, optimizing data movement and storage strategies, and ensuring secure, compliant access to healthcare data assets across hybrid and multi-cloud environments.

Responsibilities

Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions.
Maintain an understanding of the organization's current solutions, coding languages, tools.
Provide consultative services to departments/divisions and leadership committees.
Design, build, and operate large-scale healthcare data platforms and data ecosystems, including the movement, transformation, and optimization of structured and unstructured clinical, operational, and research data across on-premises and cloud environments.
Partner with product owners, clinical stakeholders and AI/ML experts to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to support the creation of agentic systems and the build of state-of-the-art multi-modal foundation models.
Provide technical leadership in architecting scalable, cost-efficient data solutions, optimizing data movement and storage strategies, and ensuring secure, compliant access to healthcare data assets across hybrid and multi-cloud environments.