Job No. 157431
- Job Title:
- Data Engineer
- Employer:
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University of Michigan-Ann Arbor
- Location:
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Ann Arbor , MI
- Posting Date:
- 02-Jan-2026
- Description:
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Job Summary
Mission: The Office of University Development maximizes private support for the University of Michigan.
Reports to: Director of Data Science and Decision Support
Direct reports: N/A
What you will do: We are a small team of data lovers using data for the common good, helping the University of Michigan improve our world through data-informed philanthropy. We not only transform data into action, we do so mindfully, maintaining a holistic commitment to inclusion in all that we do. As our new data engineer, you will wrangle messy and complicated data. You will also pull data from APIs, take advantage of AI tools, and build structured data products, used in machine learning and artificial intelligence-based tools for university fundraising. A typical work week will include a large amount of programming and data pipeline development. It will also include a fair amount of data management, and requirements gathering. Additionally, some documentation, outreach, brainstorming, visualization, and other tasks. For the full job description with a detailed list of responsibilities and requirements, please click here.
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 paid time off for vacations, holidays, sick time, season days, and paid parental leave
A retirement plan that provides two-for-one matching contributions with immediate vesting
Many choices for comprehensive health insurance
Dental & vision insurance
Life insurance
Long-term disability coverage
Flexible spending accounts for healthcare and dependent care expenses
Required Qualifications*
Bachelor's degree in information systems, computer science/engineering or data science field.
The ability to do serious data munging and data wrangling is important. Demonstrated experience with SQL plus knowledge of Python. Using these tools to merge large datasets, locate and clean messy records, recode missing values, convert between data formats, and construct standardized datasets for wider use.
Curiosity and teamwork skills to collaborate with all kinds of peers to solve challenging questions head-on.
3+ years of experience with "big data" data storage formats and query tools (e.g., Hadoop, Hive, Parquet, Delta Lake, NoSQL databases).
2+ years of experience with each of the following:
Amazon AWS and Databricks
Modern data engineering workflows and frameworks
Software development best practices (e.g., Agile methods and unit testing) and version control tools
Integrate AI tools into data engineering workflow
Develop interactive, reusable and self-service online analytics tools
Machine learning and data mining concepts and techniques
Cloud-based analytics tools
- Contact information:
- University of Michigan-Ann Arbor
- Ann Arbor, MI 48109
- United States
- Employer's Website:
-
Visit Employer's website