How to ApplyA 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 that directly relate to this position for a total of 3 pages.
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] .
Job SummaryMICOM (Michigan Integrated Modeling and Outbreak Management) 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)
Modes of WorkPositions 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 InformationVisa 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 InformationThe 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.
Application DeadlineJob 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.
Job DetailJob Opening ID284514
Working TitleData Engineer
Job TitleData Engineer Intermediate
Work LocationAnn Arbor Campus
Ann Arbor, MI
Modes of WorkHybrid
Full/Part TimeFull-Time
Regular/TemporaryRegular
FLSA StatusExempt
Organizational GroupSchool Information
DepartmentSchool of Information
Posting Begin/End Date10/16/2026 - 10/30/2026
Salary$100,000.00 - $110,000.00
Career InterestInformation Technology
