Data Engineer

Architect, build, and scale the data infrastructure that powers our product. Own ingestion pipelines (NiFi 2.0 → Kafka → Iceberg → BigQuery/Motherduck) end-to-end. Design and maintain data models (star, wide-table, or Iceberg-native) to support real-time and batch analytics. Build robust CI/CD, testing, and observability for data flows (GitHub Actions, dbt tests, OpenMetadata, Sentry). Optimize storage + query performance; keep infra costs lean. Partner with ML, product, and frontend engineers to ship AI-driven features (LLM text-to-SQL, embeddings, feature stores, LLM-driven data modeling). Champion data quality, governance, RBAC/RLS, and privacy best practices (FERPA, GDPR).