Staff Data Engineer
Core
Design and scale the data platform enabling AI-powered vegetation analysis to reduce wildfire risks and improve electrical grid resilience.
Role type
Staff Data Engineer (Technical Lead)
Builds
Production data pipelines, orchestration layers, and service-oriented data architectures for geospatial and temporal data.
Domain
Climate tech / Electrical grid resilience / Geospatial data
Deliverable
production ML models
Required skills
Distributed systems design, Data pipeline architecture, System design, Service-oriented architecture, Event-driven patterns, Python, Google Cloud, Dagster, Mentoring
Preferred skills
Geospatial data handling, ML training/inference pipelines, Analytics engineering (BigQuery), Infrastructure-as-code, Remote sensing/forestry background
Technologies
Dagster, Google Cloud, Pub/Sub, Python, BigQuery
Responsibilities
Architect and evolve the orchestration layer for large-scale data; Design and maintain production pipelines for geospatial/temporal data; Lead system design regarding service boundaries and failure modes; Drive shift to service-oriented architecture; Build event-driven workflows; Establish observability and data quality frameworks; Mentor engineers and define standards.
Seniority
Staff, hands-on IC with strategic leadership