Data Engineer

Over the next few years, every college and university will have AI systems working alongside advisors, enrollment teams, and student support staff. At Edvise, we’re building that future by creating the AI infrastructure that helps institutions understand student risk earlier, intervene more effectively, and improve persistence at scale.

Our platform brings together institutional data, engagement signals, behavioral patterns, and AI-driven workflows to support student success teams. We build systems for persistence scoring, early risk detection, student segmentation, operational reporting, and proactive outreach. This requires clean, reliable, and well-modeled data infrastructure at the core.

Data engineers at Edvise build the pipelines and data models that make this possible. You’ll work on the systems that transform raw data from SIS, LMS, CRM, and communication platforms into the structured foundation for analytics, machine learning, and product workflows. You might be a fit if you:

• have built reliable data infrastructure for complex, multi-source environments
• have experience with ETL and ELT pipelines, warehouse design, and production-grade data modeling
• care deeply about data integrity, observability, and trust in analytical systems
• are excited by the challenge of turning messy institutional data into systems that directly improve real-world outcomes
• want to work on products where data quality is inseparable from product quality

Join us in building the next generation of AI tools for higher education and help institutions make better decisions for students at exactly the moments that matter most.