Data Engineer

University of Michigan; Ann Arbor (MI); Híbrido; USD 100.000 - 110.000; Jornada completa

Descripción de la vacante

University of Michigan is seeking a Data Engineer for MICOM to design, build, and maintain scalable data platforms enabling epidemiological modeling and public health analytics. You will work with software engineers, data scientists, and health stakeholders to deliver reliable data pipelines and analytics-ready datasets.

The role involves modern data engineering practices, cloud-native architectures, and collaboration across MDHHS and DTMB.

Formación

• 5+ years of experience developing ETL pipelines.
• Proficiency in Python and SQL.
• Experience with Linux/Unix environments.
• Knowledge of security best practices and data privacy standards.

Responsabilidades

• Develop scalable data pipelines for batch and near real-time data processing.
• Develop ETL/ELT pipelines to transform data from multiple data sources.
• Build modern Lakehouse architectures to support governed datasets.
• Collaborate with software engineers, data scientists, epidemiologists, and public health partners to deliver robust data products.
• Develop reusable data engineering frameworks, libraries, and infrastructure.

Conocimientos

ETL pipelines

Python

SQL

Linux/Unix

Security best practices

Cloud platforms (AWS)

Educación

Bachelor's degree in CS/IT or related field

Herramientas

PostgreSQL

MongoDB

Descripción del empleo

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 that directly relate to this position for a total of 3 pages.

With questions about the position or office, please email [e-mail]. For requests for accommodations or support with the application process, please email UMSI Human Resources at [e-mail].

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 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)

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.

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 checksare 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.