Responsibilities: Design, build, and automate robust, scalable data pipelines for ingesting, transforming, and loading both structured and unstructured data from diverse internal and external sources, including EHR systems (e.g., Epic Clarity/Caboodle), clinical research systems, registries, and third-party research datasets. Working at the intersection of clinical care and scientific discovery, the Data Engineer develops robust data models and infrastructure to support key research use cases such as cohort identification, longitudinal patient tracking, clinical trials, and real-world evidence generation.