Data Engineer
Core
Building the foundational data infrastructure to support AI system development, training, and deployment by ensuring data reliability and clean data flow for product decisions and model iteration.
Role type
Senior Data Engineer (Analytics/Infrastructure)
Builds
ETL/ELT pipelines, clean data tables, data quality monitoring systems, and data governance frameworks.
Domain
AI/ML Infrastructure, Data Engineering, Cloud Computing
Deliverable
production ML models | infrastructure
Required skills
Data modeling, ETL/ELT pipeline design, data warehouse architecture, SQL, Python, schema management, lineage tracking, alerting, data governance, strategic thinking, hands-on technical leadership, scaling analytics functions, full-stack mindset.
Preferred skills
Experience partnering with Data Science and Product leaders, establishing data quality standards, bias for action.
Technologies
dbt, SQLMesh, GPU telemetry tools, modern data stack tools.
Responsibilities
Design and own ETL/ELT pipelines for telemetry and operational data; Build and maintain clean, documented data tables for analysts and scientists; Own data quality end-to-end including schema management and freshness monitoring; Partner with engineering and GTM teams to instrument data collection; Work with product, infra, and ML teams to unblock data needs.
Seniority
Senior, hands-on IC with leadership scope