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University of Michigan

Data Engineer

🇺🇸 Hybrid - Ann Arbor, Michigan 🕑 Full-Time 💰 $100K - $110K 💻 Data Science 🗓️ October 21st, 2026

Edtech.com's Summary

University of Michigan is hiring a Data Engineer. The role builds the data platforms behind MICOM (Michigan Public Integrated Center for Outbreak Analytics and Modeling), a School of Information collaboration with the Michigan Department of Health and Human Services that supports public health analytics and epidemiological modeling. It reports to the Technical Lead and works alongside software engineers, data scientists, and epidemiologists.

Highlights
  • Develop scalable pipelines for batch and near real-time data processing, including ETL/ELT workflows that transform data from multiple internal and external sources.
  • Build modern Lakehouse architectures (a design that combines data lake storage with warehouse-style governance) that produce reliable, analytics-ready datasets.
  • Partner with software engineers, data scientists, epidemiologists, and public health stakeholders to deliver trusted, high-quality data products.
  • Create reusable data engineering frameworks, libraries, and infrastructure that improve developer productivity and platform consistency.
  • Bachelor's degree in computer science, information technology, or a related field (or equivalent practical experience) and 5+ years developing ETL pipelines in Python, SQL, and Linux/Unix environments.
  • Five or more years with relational and NoSQL databases such as PostgreSQL and MongoDB, plus knowledge of HIPAA-style privacy standards and cloud deployment on platforms such as Amazon Web Services.
  • Two-year term-limited, hybrid position in Ann Arbor, Michigan, with some non-business-hour and weekend work and no visa sponsorship.
  • Salary range of $100,000 to $110,000.

Data Engineer Full Description

How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and highlight your experiences, and be no more than 1 page. Your resume should be no more than 2 pages, for a total of 3 pages for your file attachment.
With questions about the position or office, please email [email protected]. For requests for accommodations or support with the application process, please email UMSI Human Resources at [email protected].

Who We Are
The School of Information is a progressive, interdisciplinary professional school that offers five academic programs. UMSI delivers innovative, elegant, and ethical solutions connecting people, information, and technology. The school was one of the first iSchools in the nation and is the premier institution studying and using technology to improve human computer interactions. Our school mission is to create and share knowledge so that people will use information - with technology - to build a better world.

Job Summary
MICOM (Michigan Public Integrated Center for Outbreak Analytics and Modeling) is seeking a Data Engineer to support collaborative initiatives between the University of Michigan, the Michigan Department of Health and Human Services (MDHHS), and the Michigan Department of Technology, Management, and Budget (DTMB).
Reporting to the Technical Lead, you will design, build, and maintain scalable, secure, and high-performance data platforms that enable public health analytics, epidemiological modeling, and operational decision-making. You will focus on modern data engineering practices, cloud-native architectures, and open-source technologies to deliver reliable, compliant, and efficient data pipelines. The successful candidate will collaborate closely with software engineers, data scientists, epidemiologists, and public health stakeholders to build robust data infrastructure supporting critical statewide public health initiatives.
This is a two-year term limited position, assuming satisfactory performance and conduct, the availability of work, and continued funding. Please see the link here for the full job description.

Responsibilities*
  • Develop scalable data pipelines for batch and near real-time data processing.
  • Develop ETL/ELT pipelines to transform data from multiple internal and external data sources.
  • Build modern Lakehouse architectures to support reliable, governed, and analytics-ready datasets.
  • Collaborate with software engineers, data scientists, epidemiologists, and public health partners to deliver trusted, high-quality datasets and data products.
  • Develop reusable data engineering frameworks, libraries, and infrastructure to improve developer productivity and platform consistency.
Required Qualifications*
  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)
  • 5+ years of experience developing ETL pipelines. Proficiency in Python, SQL, and Linux/Unix systems.
  • 5+ years of experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Knowledge of security best practices and data privacy standards (HIPAA or similar regulatory frameworks)
  • Familiarity with cloud platforms and deploying applications in cloud environments (e.g., Amazon Web Services)
Why Work at Michigan?
In addition to a career filled with purpose and opportunity, the University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include:
  • Generous time off (Vacation, Holidays, Season Days, Family Leave)
  • A retirement plan that provides two-for-one matching contributions after 12 months of eligible service, with immediate vesting
  • Many choices for comprehensive health insurance
  • Dental and vision insurance
  • Life insurance
  • Long-term disability coverage
  • Flexible spending accounts for healthcare and dependent care expenses
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
This is a hybrid position. You will coordinate your schedule with your supervisor in accordance with school policy. You may be required to travel to multiple locations on and off campus. The main office workspace for this position is located in the Leinweber Computer Science and Information Building. Punctual and regular attendance is required. You will be required to work during non-business hours and on weekends based on the requirements for your position.
Additional Information
Visa sponsorship is not available for this position.
This is a two-year term limited position, assuming satisfactory performance and conduct, the availability of work, and continued funding.
This position may work with and/or support systems that maintain or process sensitive institutional data as defined by university policy. Successful candidates must comply with federal, state, and local law, and/or university policies or agreements that require the university to implement specific privacy and security safeguards, including but not limited to ITAR, EAR, HIPAA, FERPA, and FISMA. This position is responsible for protecting data and information from unauthorized release or from loss, alteration, or unauthorized deletion; and following applicable regulations and instructions regarding access to computerized files and release of data internally or externally to the University of Michigan.
Salary Information
The salary range for this position is $100,000 to $110,000. Salary is determined by direct relevant experience and demonstrated past performance results while ensuring equity on our team. All candidates are encouraged to discuss salary questions to honor alignment and transparency throughout the recruiting process.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.