About this role
Surgo Health is a Public Benefit Corporation building the world’s most comprehensive and insightful AI-powered data platform that reveals the why behind people’s behaviors. We uncover the unseen drivers of health - people’s beliefs, barriers, and behaviors - and transform that intelligence into scalable products that enable healthcare organizations to drive impact, reduce costs, and advance inclusion. From improving clinical trial design to optimizing care delivery and public health strategies, our solutions help decision-makers act on what truly shapes health outcomes. By revealing the human side of healthcare, we’re making it more personal, precise, and effective - for everyone. We are looking for a Data Engineer to join our growing R&D Engineering team. If you are excited by the idea of turning data into scientific models and scalable, production-ready systems that support healthcare innovation—this is the role for you. As part of a collaborative and fast-paced team, you’ll play a key role in supporting our Scientists and Engineers to scale impact across a diverse set of health and behavior datasets and their metadata. You'll help take prototypes and turn them into robust data infrastructure that supports scalable pipelines, analytics, and machine learning operations. This is a great opportunity for someone early in their Data Engineering career who is eager to grow, learn, and make a difference. Productionize Databricks notebooks created by our Scientists Create, manage, and enhance data pipelines that support ML and analytics workflows Support and collaborate closely with our Head of Engineering Improve and maintain our cloud-based data infrastructure on Azure and AWS Help support and enforce best practices for data engineering, curation, and notebook development Work cross-functionally to ensure data products align with our platform principles and scientific goals Build scalable and efficient pipelines that connect raw data and metadata to insights and products Help evolve our use of the Databricks platform, and our broader Azure/AWS cloud environments Translate Python/SQL/R code from exploration to production-grade Be a hands-on partner to Scientists, supporting their work and helping scale their models Contribute to shaping our engineering culture and infrastructure as we grow