Senior Data Engineer

About the Role

We are looking for a Senior Data Engineer (remote) to own and evolve the backbone of our data platform. This role is for a hands-on builder who thrives at the intersection of data engineering, software architecture, and pragmatic problem solving. You’ll design and scale the systems that ensure our data is trustworthy, accessible, and ready to power everything from day-to-day operations to next-generation AI applications. While this is not a people manager role, you will serve as a technical leader on the team, raising the bar on engineering fundamentals and helping shape the long-term direction of our data ecosystem. You will be part of a skilled, passionate, and collaborative team committed to working together to realize Hopscotch’s ambitious and important vision.

Responsibilities

• Architect, build, and maintain our data model, data pipelines, and data access layer that support our care delivery, operations, and analytics in collaboration with the data platform team.
• Own the end-to-end lifecycle of data pipelines that enable key business operations, support third-party integrations, and ensure timely, accurate data delivery across internal and external platforms.
• Ensure data quality & governance: implement practices that make our data trustworthy and usable for all stakeholders, from clinicians to operators.
• Monitor and optimize data infrastructure: troubleshoot issues, improve system performance, and drive efficiency through automation and process enhancements.
• Lead with technical depth: review code and set engineering best practices across the team.
• Think big picture: design today’s infrastructure with tomorrow’s needs in mind, laying the foundation for high quality workflow enhancements as well as advanced analytics and AI.
• Contribute where business needs are highest: flex across the stack, from backend data engineering to occasional contributions in frontend applications that bring data to life.
• Collaborate with cross-functional teams: work with product managers, analytics, operations, and care delivery stakeholders to translate business needs into scalable data solutions.