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.
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 [redacted] 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.
