Data Engineer

We’re partnering with an AI-native home health platform focused on eliminating administrative inefficiencies in U.S. healthcare — a $140B problem. The company is already operating with significantly higher margins than traditional providers and is scaling rapidly.The team includes talent from Character AI, Scale, Palantir, Citadel, and Jane Street. Compensation: $150K–$300K + $15,600 commission opportunity Location: New York, NY (Hybrid)Stage: Series-stageWhat You’ll Own:Design and maintain data pipelines across EMRs, EDI feeds, and third-party APIsModel complex healthcare domains (RCM, clinical ops, intake) into clean, queryable schemasBuild analytics, dashboards, and alerting systems to drive automation insightsScale BI and data infrastructure to support rapid growthIdeal Background:3+ years building and maintaining production data pipelines and warehousesStrong SQL with experience in Databricks, Redshift, Snowflake, or BigQueryETL/ELT experience (Airflow, dbt, Dagster, or similar)Proficiency in Python or R for analysis and EDAAbility to communicate technical concepts to non-technical stakeholdersBackground from a top-tier school or high-performing startup environment⚠️ Healthcare data or RCM experience is a strong plus.🚫 No C2C or third-party submissions. Direct applicants only.