Michigan Giving
Data Engineer
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Data Engineer
role at
Michigan Giving
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How to Apply We require a cover letter for consideration, and you must attach it as the first page of your resume. In your cover letter, let us know how your experience, career aspirations, and accomplishments directly relate to this position.
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. 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; data management, requirements gathering, 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 and knowledge of Python. Using these tools to merge large datasets, locate & 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" storage formats & query tools (e.g., Hadoop, Hive, Parquet, Delta Lake, NoSQL).
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
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 Exciting News: We're Moving! Our team is moving to a new location, Michigan House. You'll find us at 2301 Commonwealth Blvd, Ann Arbor, MI 48105, starting in March.
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.
#J-18808-Ljbffr
Data Engineer
role at
Michigan Giving
Apply Now
How to Apply We require a cover letter for consideration, and you must attach it as the first page of your resume. In your cover letter, let us know how your experience, career aspirations, and accomplishments directly relate to this position.
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. 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; data management, requirements gathering, 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 and knowledge of Python. Using these tools to merge large datasets, locate & 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" storage formats & query tools (e.g., Hadoop, Hive, Parquet, Delta Lake, NoSQL).
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
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 Exciting News: We're Moving! Our team is moving to a new location, Michigan House. You'll find us at 2301 Commonwealth Blvd, Ann Arbor, MI 48105, starting in March.
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.
#J-18808-Ljbffr