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The Data Engineer II is responsible for designing, developing, and maintaining robust, scalable, and secure data architectures that facilitate efficient data collection, transformation, storage, analysis, and self-service access. Leveraging modern tools and methodologies, the Data Engineer II manages transformation logic, data models, and metric definitions, develops automated pipelines, and supports AI-driven workflows. By ensuring data reliability and quality, this role directly contributes to enhancing patient care delivery, clinical pathways, translational research, and overall clinical care. The Data Engineer II collaborates closely with business teams, data scientists, machine learning engineers, and backend developers to deliver impactful data solutions.
