Data Engineer
Core
Build production data pipelines and manage the data model for a live knowledge graph powering internal tools, dashboards, and ML models for a company constructing and operating AI compute infrastructure.
Role type
Senior Data Engineer (Infrastructure & Data Modeling)
Builds
Production data pipelines, structured datasets, and services with SLAs for internal tools and ML models
Domain
AI Infrastructure / Data Centers / Construction & Manufacturing
Deliverable
production ML models | product features | infrastructure
Required skills
Production data pipeline design and operation, Data modeling for knowledge graphs, Data quality engineering (tests, monitoring, lineage), Unstructured data extraction (PDFs, spreadsheets), Modern data stack proficiency, AI tooling integration
Preferred skills
Postgres, dbt, Warehouse internals, Streaming and eventing, LLM-based extraction, Construction/manufacturing/supply chain domain knowledge
Technologies
Postgres, dbt, Streaming frameworks, LLMs, ERP/ATS/Project Management systems
Responsibilities
Design and operate data pipelines ingesting data from ERP, ATS, and construction software; Model real-world entities (sites, equipment, schedules) into a scalable knowledge graph; Ensure data quality through automated testing and monitoring; Transform messy vendor and field data into structured inputs
Seniority
Senior, hands-on IC
