Principal Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic•Rochester, MN

6h•$155,501 - $225,493•Remote

About The Position

The Principal Data Engineer serves as a hands-on technical authority responsible for defining and implementing enterprise-scale data architecture and engineering strategies while actively contributing to solution design, development, optimization, and technical delivery. As part of an assigned product team, this role develops and deploys data pipelines, integrations, and transformations to support analytics and machine learning applications using open-source programming languages and vendor software. The position requires a strong understanding of the organization’s current solutions, coding languages, tools, and Enterprise Data and Analytics technology framework, as well as the ability to apply independent judgment, provide consultative services to departments, divisions, and leadership committees, and partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, transform data, visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.

Requirements

Hands-on technical authority
Experience with enterprise-scale data architecture and engineering strategies
Experience with solution design, development, optimization, and technical delivery
Experience developing and deploying data pipelines, integrations, and transformations
Experience supporting analytics and machine learning applications
Proficiency in open-source programming languages and vendor software
Strong understanding of the organization’s current solutions, coding languages, tools, and Enterprise Data and Analytics technology framework
Ability to apply independent judgment
Ability to provide consultative services to departments, divisions, and leadership committees
Ability to partner with product owners and Analytics and Machine Learning delivery teams

Responsibilities

Define and implement enterprise-scale data architecture and engineering strategies.
Contribute to solution design, development, optimization, and technical delivery.
Develop and deploy data pipelines, integrations, and transformations to support analytics and machine learning applications.
Actively design, develop, review, and optimize production code and platform capabilities.
Provide technical leadership and mentorship to engineering teams.
Apply independent judgment and provide consultative services to departments, divisions, and leadership committees.
Partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, transform data, visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.