Data Engineer, Healthcare

Build end-to-end data pipelines and models that transform fragmented clinical, operational, and financial healthcare data into AI-ready assets. Normalize noisy datasets by defining data packs and ontology, then create internal tooling that makes data work faster and repeatable across health systems. Partner closely with clinicians, operators, and product/AI engineers to productionize high-value use cases, and shape technical decisions on data models, storage, orchestration, and infrastructure.