Data Engineer
Core
Build production data pipelines and manage the data model for a live knowledge graph to support internal tools, dashboards, and ML models.
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, and supply chain.
Required skills
production data pipeline design, data modeling for evolving domains, data quality engineering (tests, monitoring, lineage), unstructured data extraction, modern data stack proficiency, AI tool adoption.
Preferred skills
Postgres, dbt, warehouse internals, streaming/eventing, LLM-based extraction, domain knowledge in construction/manufacturing/supply chain.
Technologies
Postgres, dbt, streaming/eventing frameworks, LLMs, ERP/ATS/telemetry systems.
Responsibilities
Build pipelines integrating ERP, ATS, project management, construction software, and telemetry; Own the data model for the live knowledge graph; Ship datasets and services with SLAs; Extract structure from messy vendor/field data (PDFs, spreadsheets, exports).
