Job Description
How to Apply
We require a cover letter and resume for consideration, and you must attach it as one file, due to system limitations. In your cover letter, let us know how your experience, career aspirations, and accomplishments directly relate to this position, and share examples of times you?ve collaborated across teams or communicated complex technical concepts to diverse audiences.
To ensure a fair and efficient review process, please limit your submission to one application per role.
To be considered, you must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future.
Exciting News: We Moved! Join our team at our brand-new location, Michigan House! You'll find us at 2301 Commonwealth Blvd, Ann Arbor, MI 48105.
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. Because we operate in a highly collaborative, mission-driven environment, success in this role requires strong relationship-building skills and the ability to communicate complex technical concepts clearly to a variety of audiences - from fellow data practitioners to non-technical partners. You will work closely with stakeholders to understand needs, translate business challenges into scalable technical solutions, and adapt your communication style to meet people where they are.
A typical work week will include a large amount of programming and data pipeline development, along with meaningful collaboration, data management, requirements gathering, documentation, outreach, brainstorming sessions, and data visualization. You will play an active role in strengthening cross-functional partnerships and amplifying the impact of our work across the university community.
For the full job description with a detailed list of responsibilities and requirements, please click here.
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.
- Demonstrated ability to build strong working relationships and communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- 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, including gathering requirements and translating business needs into scalable data solutions
- 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
Ready to use your data engineering expertise and adaptable communication skills to advance the Office of University Development's mission? Apply today!
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
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.
Additional Information
For additional information about this position and to review other current openings in Development, please visit our website at: https://giving.umich.edu/um/careers
Application Deadline
Although the Posting End Date may indicate otherwise, we may fill and close this job any time after a posting duration of seven calendar days.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
How to Apply
We require a cover letter and resume for consideration, and you must attach it as one file, due to system limitations. In your cover letter, let us know how your experience, career aspirations, and accomplishments directly relate to this position, and share examples of times you?ve collaborated across teams or communicated complex technical concepts to diverse audiences.
To ensure a fair and efficient review process, please limit your submission to one application per role.
To be considered, you must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future.
Exciting News: We Moved! Join our team at our brand-new location, Michigan House! You'll find us at 2301 Commonwealth Blvd, Ann Arbor, MI 48105.
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. Because we operate in a highly collaborative, mission-driven environment, success in this role requires strong relationship-building skills and the ability to communicate complex technical concepts clearly to a variety of audiences - from fellow data practitioners to non-technical partners. You will work closely with stakeholders to understand needs, translate business challenges into scalable technical solutions, and adapt your communication style to meet people where they are.
A typical work week will include a large amount of programming and data pipeline development, along with meaningful collaboration, data management, requirements gathering, documentation, outreach, brainstorming sessions, and data visualization. You will play an active role in strengthening cross-functional partnerships and amplifying the impact of our work across the university community.
For the full job description with a detailed list of responsibilities and requirements, please click here.
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.
- Demonstrated ability to build strong working relationships and communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- 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, including gathering requirements and translating business needs into scalable data solutions
- 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
Ready to use your data engineering expertise and adaptable communication skills to advance the Office of University Development's mission? Apply today!
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
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.
Additional Information
For additional information about this position and to review other current openings in Development, please visit our website at: https://giving.umich.edu/um/careers
Application Deadline
Although the Posting End Date may indicate otherwise, we may fill and close this job any time after a posting duration of seven calendar days.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
About University of Michigan
Why Work at Michigan?
Being part of something greater, of serving a larger mission of discovery and care — that's the heart of what drives people to work at Michigan. In some way, great or small, every person here helps to advance this world-class institution. It's adding a purpose to your profession. Work at Michigan and become a victor for the greater good.
Workplace Culture
The University of Michigan is committed to establishing, supporting and maintaining a culture where all members of the U-M community feel safe and supported.
Our Values
- Values guide our choices and actions. From how we hire and promote, make decisions, educate, conduct research, provide care, and treat one another. We strive to ensure the following values reflect who we are and what we stand for.
- Integrity - We act with honesty and take responsibility for our actions.
- Respect - We act in a way that acknowledges the humanity and contributions of each individual.
- Inclusion- We create an environment where all can participate, are invited to contribute, and have a sense of belonging.
- Equity - We create conditions that provide everyone an opportunity to thrive.
- Diversity - We welcome, acknowledge and appreciate our similarities and differences.
- Innovation - We promote creativity and curiosity to tackle challenges and inspire new ideas.
More about Working at U-M
- Our commitment to campus culture
- Our commitment to faculty and staff well-being
- Our commitment to employee engagement
