At Nest Health, the Machine Learning Data Engineer plays a critical role in transforming complex healthcare data into reliable, scalable, and compliant ML-powered solutions that directly support patient care and business operations. This role exists to bridge data engineering, machine learning, and analytics—curating high-quality datasets and feature stores, designing robust data models, and building production-ready ML/AI pipelines that deliver trustworthy insights and predictions. Working end-to-end, the Machine Learning Data Engineer partners closely with data scientists, analytics teams, and business stakeholders to move solutions from raw data ingestion through modeling, deployment, and monitoring. With a strong focus on reusability, performance, and healthcare compliance, this role ensures that ML systems are not only technically sound but also practical, explainable, and impactful for real-world clinical and operational use at Nest Health.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees