Data Engineer

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had 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. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

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.

We hire people who care deeply about this problem space. If that is you, please apply!

• 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.

• 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.

• The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

• 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.

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

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.