Data Engineer

Fervo is building the most cost-effective, repeatable geothermal power plants in the world. Scaling that mission depends on a trustworthy, well-governed data foundation that turns raw sensor signals, drilling and completions records, and power plant telemetry into reliable, decision-ready information. The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it — engineers, operators, data scientists, and the analytical and agentic applications built on top.

The Data Engineer owns data products end to end — from ingestion and modeling, through quality, governance, and serving, to monitoring in production. Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business stakeholders, this role establishes reusable patterns for real-time and batch processing, IoT/historian integration, data quality and entity linkage, and self-service analytics on our Azure, Databricks, and Snowflake stack. Success requires strong hands-on engineering depth in distributed data processing, sound data modeling and architecture judgment, and pragmatism about what to ship versus what to defer.