Data Engineer
Core
Build the critical data foundation by extracting, unifying, and structuring fragmented historical logistics data to power advanced AI simulations and drive operational transformation.
Role type
Senior Data Engineer (Supply Chain/Logistics)
Builds
Secure, canonical data schemas and robust ETL/ELT pipelines for downstream AI modeling and optimization.
Domain
Supply chain logistics, freight, and energy/real estate operational AI.
Deliverable
production ML models
Required skills
Python, advanced SQL, ETL/ELT pipeline design, data architecture, cloud infrastructure, PostgreSQL, legacy data harmonization
Preferred skills
Supply chain/logistics/ERP domain knowledge, LLM code assistants (Cursor, Copilot), agentic engineering
Technologies
Python, SQL, PostgreSQL, cloud environments
Responsibilities
Lead extraction and harmonization of historical freight, order, and carrier rate card data; Define and architect unified canonical data schemas; Build reusable ETL/ELT pipelines; Ensure data quality for predictive ML model training; Operate within secure single-tenant sandbox environments; Provide data structures to decompose allocation logic and identify optimization drivers
Seniority
Senior, hands-on IC
