Data Engineer (Remote)

at  DataKind

DATAKIND IS LOOKING FOR A DATA ENGINEER!

DataKind is looking for a values-driven data engineer who is ready to make a major impact on student graduation rates by building and maintaining data pipelines to help us deliver on our next decade of data science solutions for positive social impact. If you’re a problem-solver eager to embrace challenges as opportunities, you’re a strong collaborator who delights in creating the infrastructure to enable data science, and you are a detail-oriented data engineer committed to advancing equity, we want to bring you on board!

ABOUT THE OPPORTUNITY

DataKind has developed a Student Success Tool (SST) to help advisors identify students that would benefit from additional support by predicting the likelihood of timely graduation, as profiled in the New York Times. We’re now working to scale this tool, based on its initial success, and we are looking for talent to help us continuously improve the data product and directly support schools in using it.
Reporting to the Director, Data Science, Education, the Data Engineer will be responsible for data ingestion and building systems to manage data to make it easily accessible to the right data professionals for analysis. You will provide direct guidance and support to schools and partners in how to share data with DataKind with appropriate data governance measures in place. The Data Engineer will own the design and implementation of data architecture, pipelines, validation, governance, and security. In this role, you’ll work closely with other Technology team members as well as our Product and Community teams.

The Data Engineer will be responsible for the following in addition to any other project assigned by the Director, Data Science: