Data Engineer

About Us

We exist to make humanity more free. Technology has historically given people more time for the things they want to do, instead of things they have to do. Powerful AI will be the biggest lever for human choice we've ever built—but only if models are aligned with what humanity actually wants. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them—with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.

How We Operate

• Extreme ownership. Full autonomy. Own things end to end, often taking on scope outside your core role without being asked to get things done.
• Velocity. We drive everything forward as fast as possible.
• First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
• Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

Responsibilities

• Build the pipelines that pull every system the company runs on—ERP, ATS, project management, construction software, telemetry—into one queryable layer.
• Own the data model behind the company's live knowledge graph: entities for sites, equipment, schedules, and people that tools and agents build on.
• Ship datasets and services with SLAs that internal tools, dashboards, and ML models depend on daily.
• Turn messy vendor and field data—PDFs, spreadsheets, exports—into structured, trustworthy inputs.

Requirements

• You've built and operated production data pipelines that other teams' products depended on.
• You've modeled a messy real-world domain into schemas that held up as the business changed.
• You treat data quality as an engineering problem: tests, monitoring, and lineage, not spot checks.
• You've done real work extracting structure from unstructured sources.
• You move fast with AI tools and modern data stacks without leaving a swamp behind.

Nice-to-Have Skills

• Postgres, dbt, or warehouse internals.
• Streaming and eventing.
• LLM-based extraction.
• Construction, manufacturing, or supply chain data.

Pay

Compensation Range: $224K - $279K