Design, build, and maintain web application front end and the APIs that power it.
Translate product and user requirements, often shaped by direct partner feedback, into clean, maintainable, well-tested code.
Own features end to end: from technical design through implementation, testing, and deployment.
Collaborate with Product and Customer Success to understand how institutional users work with the platform.
Contribute to data pipeline and integration work in partnership with the Data Engineering team.
Support infrastructure decisions related to application performance, scalability, and reliability.
Implement authentication and authorization protocols to protect sensitive student data.
Partner with Data Engineering and Data Science to operationalize models into production features.
GraphQLPythonSQL+6 more
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About DataKind
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.
How We Work
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.
Engineering at DataKind
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.
Why Join Us
Drive real social impact by applying data science and AI to humanitarian challenges.
Work in a truly flexible, remote environment with shared time off and meeting-free days.
Benefit from comprehensive wellness support including 100% employer-paid health benefits.
Grow your skills with annual professional development funding and 401(k) matching.
Collaborate with a diverse, equitable, and inclusive team committed to making a difference.
Benefits & Perks
Flexible PTO (minimum 20 vacation days encouraged annually)
Shared time off and bi-weekly meeting-free days
100% employer-paid medical, vision, and dental benefits for employees (72% for dependents)
Wellness reimbursement program
12 weeks paid parental leave
Annual professional development funding
401(k) plan with 5% employer matching
Annual staff retreat and opportunities for in-person connection