Data Engineer

Fluidstack; Seattle, New York, San Francisco, Austin (WA, NY, CA, TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Fluidstack is seeking a data-focused engineer to build production pipelines and model complex data domains for a unified knowledge graph. You will transform messy source data into structured inputs used across dashboards, ML models, and tools.

You will implement tests and monitoring to ensure data quality and reliability, while advancing the data stack with modern technologies and streaming capabilities. Seattle-based, on-site role with high ownership.

Qualifications

• Built and operated production data pipelines that other teams rely on.
• Modeled messy real-world domains into durable schemas.
• Treated data quality as an engineering problem with tests, monitoring, and lineage.
• Extracted structure from unstructured sources.

Responsibilities

• Build the pipelines that pull all company systems into one queryable layer.
• Own the data model behind the live knowledge graph (sites, equipment, schedules, people).
• 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.

Skills

Production data pipelines

Data modeling

Data quality & tests

Unstructured data to structured

AI tools & data stacks

Tools

Postgres

dbt

Data warehouse internals

Streaming & eventing

Job description

About Fluidstack

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!

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.

Role Scope

• 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.

What We're Looking For

• 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 [e-mail] 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.