Senior Data Engineer

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical data across health systems to making it reliably available for downstream product, analytics, and machine learning workflows, you'll build and evolve the infrastructure that enables the platform. This includes analyzing and tuning Spark workloads and partitioning strategies to control costs, adapting to upstream breaking changes, and enforcing rigorous data quality standards so our analytics are as dependable as our application code. We prioritize transparent, code-driven systems over black-box services, and you'll help architect the data platform that supports that philosophy. About Regard Our mission is to bring world-class healthcare to everyone. Regard is an AI-powered Proactive Documentation platform that advances how care is delivered by reviewing all patient data in the EHR to recommend diagnoses and surface clinical evidence. Regard drafts a note even before the physician sees the patient, enabling an approach that gets documentation right at the point of care - we call it Proactive Documentation. This improves quality of care, reduces physician burden, and improves hospital finances. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us. Our Tech Stack: - Data: S3, Apache Iceberg, EMR, PySpark, Dagster, Kubernetes, Clickhouse, PostgreSQL, FastAPI, Metabase Responsibilities: - Collect, model, and consolidate data into the data platform to support analytics, ML development, and research initiatives - Design, build, and evolve data models and pipelines that reliably transform and deliver data to downstream consumers - Own data quality