DataKind is a global nonprofit that harnesses the power of data science in the service of humanity.
This company offers remote work opportunities.
DataKind pioneers the use of data science and AI for humanity, partnering with mission-driven organizations to solve critical global challenges. Since 2011, we have mobilized over 30,000 data scientists, delivering $35M in pro bono services across 350+ projects. Our work transforms frontline health, humanitarian action, climate, and economic opportunity sectors through data-driven tools and solutions. We build products like Edvise for higher education and collaborate with partners to expand data science capacity within the social sector.
DataKind embraces a people-first, remote culture where flexibility is key. We offer shared time off and bi-weekly meeting-free days. Our team works across multiple time zones, primarily US-based, and collaborates through internal systems. You will work with diverse teams, advocating for partners and translating technical needs. We foster a culture of continuous learning and meaningful connection.
As a Data Engineer at DataKind, you will build and maintain scalable data pipelines and architectures for education-focused data products. You will design robust APIs and integrations, optimizing data ingestion and transformation for reliability. We work with Python, SQL, and GCP, leveraging platforms like Databricks. You will face the challenge of connecting diverse institutional data systems and configuring front-end dashboards to deliver tangible value. Our technical approach emphasizes secure data sharing, governance, and transparent documentation, solving complex data architecture problems to advance social impact.