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Data Engineer

San FranciscoFull-time2026-10-12 → 2026-10-15
On-site

Core

Build the foundational data systems that ingest, model, and serve fragmented healthcare data (plans, networks, claims, providers) to power products, AI agents, and business operations.

Role type

Senior IC Data Engineer (Zero-to-One)

Builds

Data warehouse, ingestion pipelines, orchestration, canonical data models, and semantic layers for healthcare data.

Domain

Healthcare / Data Engineering

Deliverable

production ML models

Required skills

SQL, Python, Data Modeling, Data Warehousing, Orchestration, Schema Evolution, Data Quality, API Integration, Legacy System Integration

Preferred skills

AI/LLM integration for data tasks, Semantic Layer design, Data Observability, Temporal Modeling

Technologies

Databricks, Airflow, Dagster, dbt

Responsibilities

Design and build data ingestion systems from diverse sources (APIs, files, vendors); Create canonical data models for core healthcare concepts; Implement data quality, lineage, and observability; Integrate AI agents to automate data acquisition and reconciliation; Define data engineering standards and roadmap.

Seniority

Senior, hands-on IC