Data Engineer

Partner Data Enablement:

• Lead the technical onboarding of partner institutions onto UDTS.
• Collaborate on-site with institutional data teams to configure and customize UDTS.
• Support institutions in securely sharing data and implementing governance protocols.

Data Architecture and Engineering:

• Design, build, and maintain scalable data pipelines and architectures.
• Develop robust APIs and integrations to facilitate seamless data exchange.
• Optimize data ingestion, transformation, and validation processes for reliability.

Collaborate across DataKind:

• Partner with data engineers and scientists to operationalize models and analytics pipelines.
• Collaborate with Customer Success, Research, Product, and Implementation teams.
• Contribute to the continuous improvement of internal tooling, workflow automation, and best practices.