Product Data Engineer
Core
Own and evolve the data platform at the intersection of Backend, BI, and Product to ensure product data is reliable, well-modeled, and effectively consumed for analytics and decision-making.
Role type
Product Data Engineer
Builds
ETL pipelines, data models, warehouse schemas, and analytics-ready data structures for a healthcare CRM
Domain
Healthcare technology / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL pipeline design, Apache Airflow, Google BigQuery, data modeling, data quality monitoring, schema evolution, KPI definition, documentation
Preferred skills
AI/ML data enablement, cross-functional collaboration, performance optimization
Technologies
Apache Airflow, Google Cloud Platform, BigQuery
Responsibilities
Design and maintain end-to-end ETL pipelines; Integrate data from internal databases, APIs, and SaaS tools into BigQuery; Design and evolve data models and warehouse schemas; Ensure data quality, reliability, and observability; Own product data structure mapping features to analytics models; Define and maintain meaningful KPIs with Product and BI teams; Enable analytics for AI-powered product features; Act as the bridge between Backend Engineering and BI teams; Maintain clear documentation for data models, pipelines, and metrics
Seniority
Mid-level, hands-on IC