CLICK HERE TO APPLYAt Microsoft AI, we are inventing an AI Companion for everyone – an AI designed with real personality and emotional intelligence that’s always in your corner. Defined by effortless communication, extraordinary capabilities, and a new level of connection and support, we want Copilot to define the next wave of technology. This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products.Our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.We’re looking for a deeply technical and mission-driven Analytics Data Engineer to build the data foundations powering our health AI companion. You’ll architect, scale, and optimize the pipelines, datasets, and metrics frameworks that help us understand user behavior, evaluate model performance, and measure health impact. This role sits at the intersection of engineering, analytics, and applied AI—translating raw signals into insights that shape product decisions and ensure our systems are safe, effective, and grounded in evidence.You’ll partner closely with product, model, and clinical teams to define data models, build robust ETL workflows, and enable a high-quality analytics environment that supports experimentation, evaluation, and decision-making at scale.Key ResponsibilitiesDesign, build, and maintain high-quality data pipelines and models that power analytics, dashboards, and product experimentation across health AI experiencesDevelop and optimize scalable ELT/ETL processes to extract data from multiple structured and unstructured sources including telemetry, model outputs, and healthcare data integrationsPartner with product and clinical counterparts to define source-of-truth datasets and standardized metr
