Data Engineer
Company: StrongMind
Location: Remote (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-04-28
About this role
Title: Data Engineer
Location: Remote (United States)
Reports to: VP of Data Science
Employment Type: Exempt / Full-Time
About StrongMind
StrongMind is a remote-first education and technology company on a mission to transform learning for students, families, and educators across the country. For more than 25 years, we’ve partnered with schools and districts to deliver innovative, student-centered learning experiences powered by technology, compassion, and bold thinking.
We believe education should be flexible, human, and built for real life. That belief shapes how we design our products, support our partners, and work together as a team. At StrongMind, you’ll find smart people doing meaningful work, a culture rooted in trust and accountability, and leaders who genuinely care about both outcomes and people.
The Team You Will Join
You’ll be part of the Data Platform team, working closely with the VP of Data Science, CTO, and product engineering leadership. This team is responsible for building and evolving StrongMind’s next-generation data platform, transitioning from traditional analytics systems to a real-time, event-driven, AI-native architecture.
The team culture is highly collaborative, innovative, and high-impact, with opportunities to influence foundational platform decisions and shape how data powers product experiences across the organization.
The Difference You Will Make
In this role, your work will directly impact product innovation, AI capabilities, and data-driven decision-making across StrongMind. You’ll help design and build a modern data platform that supports real-time processing, advanced analytics, and AI-powered features. Your contributions will shape how data is captured, structured, and utilized—enabling everything from learner intelligence to production-grade AI systems. This is a high-ownership role where your work will have visible, long-term impact across the company.
A Typical Day Looks Like
While...