{"schemaVersion":"jobsearcher.job.v1","id":"ddd10d73a57eca147f6d8f25","url":"https://jobsearcher.com/jobs/ddd10d73a57eca147f6d8f25","canonicalUrl":"https://jobsearcher.com/jobs/ddd10d73a57eca147f6d8f25","title":"Full Stack Software Engineer","description":"DataKind is looking for a Full Stack Software Engineer!\n\nDataKind is looking for a values-driven, product-focused full stack software engineer who is ready to make a major impact on student graduation rates by building the web application and API layer that powers our education data platform. If you're someone who moves fluidly between frontend and backend, cares about the craft of a well-built data product, and are committed to advancing equity through data, we want to bring you on board!\n\nLocation\n\nThis is a remote position that can be based anywhere in the U.S. and requires the majority of working hours each day to fall between 8am and 6pm Eastern Standard Time.\n\nSalary Range\n\nThe salary range is $85,000 - 90,000 annually.\n\nActual salary within these ranges will be based on the candidate's experience and internal salary equity scan of active employee(s) with similar role and experience.\n\nAbout the Opportunity\n\nDataKind is seeking a Full Stack Software Engineer to build and evolve the UI and API layer of our education data platform. This role owns the software that turns complex educational data into something usable, insightful, and reliable for the institutions we serve. You'll spend most of your time in the web application and API, with regular contributions to the data engineering and infrastructure work that supports it.\n\nReporting to the VP of Technology, you'll work closely with Data Engineering, Data Science, Product, and Customer Success to ship features that directly affect student outcomes. You'll be a contributing senior technical voice on the team, someone who can take ambiguous product requirements and turn them into shipped, well-architected software.\n\nWhat You'll Do\n\nProduct Engineering (60%)\n\nDesign, build, and maintain web application front end and the APIs that power it.\nTranslate product and user requirements, often shaped by direct partner feedback, into clean, maintainable, well-tested code.\nOwn features end to end: from technical design through implementation, testing, and deployment.\nCollaborate with Product and Customer Success to understand how institutional users actually work with our education data platform and use that to inform technical decisions.\nContribute to frontend architecture, component design, and API design standards across the team.\n\nData Engineering and Infrastructure (25%)\n\nContribute to data pipeline and integration work that feeds the education data platform, in partnership with the Data Engineering team.\nSupport infrastructure decisions related to application performance, scalability, and reliability.\nHelp ensure data flowing into the application layer is validated, well-structured, and secure, including implementation of authentication/authorization (e.g., SSO, OAuth, role-based access control) appropriate for handling sensitive student data.\n\nCollaborate and contribute across DataKind (15%)\n\nPartner with Data Engineering and Data Science to operationalize models and analytics into production-ready product features.\nAlign your work with DataKind's engineering standards, conduct timely code reviews for your peers, and consistently contribute quality technical documentation.\nContribute to the continuous improvement and maintenance of internal tooling, engineering process documentation, and workflow automation.\nQualifications\nRequired\nDeep alignment with DataKind's mission and values, and demonstrated commitment to educational equity and data-driven social impact\n3-5 years of professional full stack software engineering experience, including meaningful ownership of both frontend and backend systems.\nAdvanced proficiency in a modern JavaScript/TypeScript framework (e.g., React) and backend API development.\nWorking proficiency in GCP, Python and SQL to support infrastructure and data engineering pipelines.\nExperience designing and building RESTful or GraphQL APIs.\nExperience writing automated tests (unit, integration, and/or end-to-end) and working in a codebase with CI-enforced test coverage.\nSolid understanding of data modeling and how application design intersects with data pipelines.\nProven ability to collaborate across engineering, data science, and product functions.\nExcellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders.\nPreferred\nDegree in Computer Science, Software Engineering, or related technical field.\nExperience with PHP, Laravel, OpenAI API, and Anthropic API.\nExperience with Git-based collaborative workflows (e.g., pull requests, code reviews) and CI/CD tooling (e.g., GitHub Actions).\nExperience building or integrating AI-powered features into a product (e.g., LLM integration, recommendation systems, applied ML).\nExperience implementing authentication and authorization patterns (e.g., SSO, OAuth, role-based access control) in a production web application.\nExperience building dashboards or data visualization tools for varied end users.\nFamiliarity with education data systems (e.g., SIS, LMS, or student outcome data).\nExperience building systems that comply with SOC2 and/or FERPA.\nFamiliarity with civic tech, social impact, or nonprofit data ecosystems.\nAbout DataKind\n\nAt DataKind, we believe in the transformative power of data science and AI to create a more promising future. Since our founding in 2012, we've been at the forefront of designing scalable, data-driven tools that address some of the world's toughest challenges—ranging from frontline health, humanitarian action, climate and environment, economic opportunity, education, and more. As both a product innovator and a movement catalyst, we set new standards in the social sector, empowering organizations to harness the full potential of data science and AI while putting communities first.\n\nWhy Work with DataKind\n\nAt DataKind, we believe that people are the most important asset to delivering on our mission. As a people-first remote organization, we offer the following for all our employees:\n\nFlexibility and time off. Enjoy genuine flexibility that goes beyond adjustable hours. We build in shared time off, organization-wide recharge days, bi-weekly meeting-free days, and flexible PTO (with a minimum of 20 vacation days encouraged annually).\nComprehensive Wellness Support. We care for your total wellbeing with 100% employer-paid medical, vision, and dental benefits for employees (72% for dependents), a wellness reimbursement program for the activities and purchases that matter to you, and 12 weeks paid parental leave when you need it most.\nA Culture of Growth. Every team member receives professional development funding each year, alongside mentorship and advancement opportunities. We invest in your future with a 401(k) plan with 5% employer matching.\nMeaningful Connection. Despite being distributed across time zones, we value being able to come together in person for conferences, strategic planning, and at our annual staff retreat.\nLiving our Values. DataKind is committed to a diverse, equitable and inclusive work environment in our day-to-day work and via special initiatives driven by our DEI Steering Committee.\nDataKind is an Equal Opportunity Employer\n\nDataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.\n\nApplicants must have a U.S.-based permanent address and currently authorized to work in the United States on a full-time basis indefinitely without employer visa sponsorship.","company":"Datakind","rawCompany":"datakind","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-29T11:18:02.860Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Software Engineer","description":"DataKind is looking for a Full Stack Software Engineer!\n\nDataKind is looking for a values-driven, product-focused full stack software engineer who is ready to make a major impact on student graduation rates by building the web application and API layer that powers our education data platform. If you're someone who moves fluidly between frontend and backend, cares about the craft of a well-built data product, and are committed to advancing equity through data, we want to bring you on board!\n\nLocation\n\nThis is a remote position that can be based anywhere in the U.S. and requires the majority of working hours each day to fall between 8am and 6pm Eastern Standard Time.\n\nSalary Range\n\nThe salary range is $85,000 - 90,000 annually.\n\nActual salary within these ranges will be based on the candidate's experience and internal salary equity scan of active employee(s) with similar role and experience.\n\nAbout the Opportunity\n\nDataKind is seeking a Full Stack Software Engineer to build and evolve the UI and API layer of our education data platform. This role owns the software that turns complex educational data into something usable, insightful, and reliable for the institutions we serve. You'll spend most of your time in the web application and API, with regular contributions to the data engineering and infrastructure work that supports it.\n\nReporting to the VP of Technology, you'll work closely with Data Engineering, Data Science, Product, and Customer Success to ship features that directly affect student outcomes. You'll be a contributing senior technical voice on the team, someone who can take ambiguous product requirements and turn them into shipped, well-architected software.\n\nWhat You'll Do\n\nProduct Engineering (60%)\n\nDesign, build, and maintain web application front end and the APIs that power it.\nTranslate product and user requirements, often shaped by direct partner feedback, into clean, maintainable, well-tested code.\nOwn features end to end: from technical design through implementation, testing, and deployment.\nCollaborate with Product and Customer Success to understand how institutional users actually work with our education data platform and use that to inform technical decisions.\nContribute to frontend architecture, component design, and API design standards across the team.\n\nData Engineering and Infrastructure (25%)\n\nContribute to data pipeline and integration work that feeds the education data platform, in partnership with the Data Engineering team.\nSupport infrastructure decisions related to application performance, scalability, and reliability.\nHelp ensure data flowing into the application layer is validated, well-structured, and secure, including implementation of authentication/authorization (e.g., SSO, OAuth, role-based access control) appropriate for handling sensitive student data.\n\nCollaborate and contribute across DataKind (15%)\n\nPartner with Data Engineering and Data Science to operationalize models and analytics into production-ready product features.\nAlign your work with DataKind's engineering standards, conduct timely code reviews for your peers, and consistently contribute quality technical documentation.\nContribute to the continuous improvement and maintenance of internal tooling, engineering process documentation, and workflow automation.\nQualifications\nRequired\nDeep alignment with DataKind's mission and values, and demonstrated commitment to educational equity and data-driven social impact\n3-5 years of professional full stack software engineering experience, including meaningful ownership of both frontend and backend systems.\nAdvanced proficiency in a modern JavaScript/TypeScript framework (e.g., React) and backend API development.\nWorking proficiency in GCP, Python and SQL to support infrastructure and data engineering pipelines.\nExperience designing and building RESTful or GraphQL APIs.\nExperience writing automated tests (unit, integration, and/or end-to-end) and working in a codebase with CI-enforced test coverage.\nSolid understanding of data modeling and how application design intersects with data pipelines.\nProven ability to collaborate across engineering, data science, and product functions.\nExcellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders.\nPreferred\nDegree in Computer Science, Software Engineering, or related technical field.\nExperience with PHP, Laravel, OpenAI API, and Anthropic API.\nExperience with Git-based collaborative workflows (e.g., pull requests, code reviews) and CI/CD tooling (e.g., GitHub Actions).\nExperience building or integrating AI-powered features into a product (e.g., LLM integration, recommendation systems, applied ML).\nExperience implementing authentication and authorization patterns (e.g., SSO, OAuth, role-based access control) in a production web application.\nExperience building dashboards or data visualization tools for varied end users.\nFamiliarity with education data systems (e.g., SIS, LMS, or student outcome data).\nExperience building systems that comply with SOC2 and/or FERPA.\nFamiliarity with civic tech, social impact, or nonprofit data ecosystems.\nAbout DataKind\n\nAt DataKind, we believe in the transformative power of data science and AI to create a more promising future. Since our founding in 2012, we've been at the forefront of designing scalable, data-driven tools that address some of the world's toughest challenges—ranging from frontline health, humanitarian action, climate and environment, economic opportunity, education, and more. As both a product innovator and a movement catalyst, we set new standards in the social sector, empowering organizations to harness the full potential of data science and AI while putting communities first.\n\nWhy Work with DataKind\n\nAt DataKind, we believe that people are the most important asset to delivering on our mission. As a people-first remote organization, we offer the following for all our employees:\n\nFlexibility and time off. Enjoy genuine flexibility that goes beyond adjustable hours. We build in shared time off, organization-wide recharge days, bi-weekly meeting-free days, and flexible PTO (with a minimum of 20 vacation days encouraged annually).\nComprehensive Wellness Support. We care for your total wellbeing with 100% employer-paid medical, vision, and dental benefits for employees (72% for dependents), a wellness reimbursement program for the activities and purchases that matter to you, and 12 weeks paid parental leave when you need it most.\nA Culture of Growth. Every team member receives professional development funding each year, alongside mentorship and advancement opportunities. We invest in your future with a 401(k) plan with 5% employer matching.\nMeaningful Connection. Despite being distributed across time zones, we value being able to come together in person for conferences, strategic planning, and at our annual staff retreat.\nLiving our Values. DataKind is committed to a diverse, equitable and inclusive work environment in our day-to-day work and via special initiatives driven by our DEI Steering Committee.\nDataKind is an Equal Opportunity Employer\n\nDataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.\n\nApplicants must have a U.S.-based permanent address and currently authorized to work in the United States on a full-time basis indefinitely without employer visa sponsorship.","datePosted":"2026-08-29T11:18:02.860Z","dateModified":"2026-08-29T11:18:02.860Z","hiringOrganization":{"@type":"Organization","name":"Datakind","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ddd10d73a57eca147f6d8f25"},"url":"https://jobsearcher.com/jobs/ddd10d73a57eca147f6d8f25"}}