Data Engineer
About The Position
Fluidstack is seeking a Data Engineer to build the pipelines that pull every system the company runs on, including ERP, ATS, project management, construction software, and telemetry, into one queryable layer. The role involves owning the data model behind the company's live knowledge graph, which includes entities for sites, equipment, schedules, and people. The Data Engineer will ship datasets and services with SLAs that internal tools, dashboards, and ML models depend on daily, and will be responsible for turning messy vendor and field data, PDFs, spreadsheets, and exports into structured, trustworthy inputs. Fluidstack is focused on delivering massive amounts of compute infrastructure for AI faster than anyone else, rethinking every layer of the stack. They acquire power, design and build data centers, and operate them with teams spanning hardware and software. Speed and scale are key differentiators. The company hires people who care deeply about this problem space and encourages applicants to apply if they share these goals.
Requirements
- Built and operated production data pipelines that other teams' products depended on.
- Modeled a messy real-world domain into schemas that held up as the business changed.
- Treat data quality as an engineering problem: tests, monitoring, and lineage, not spot checks.
- Done real work extracting structure from unstructured sources.
- Move fast with AI tools and modern data stacks without leaving a swamp behind.
Nice To Haves
- Postgres, dbt, or warehouse internals.
- Streaming and eventing.
- LLM-based extraction.
- Construction, manufacturing, or supply chain data.
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.
Benefits
- Commitment to pay equity and transparency.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
