Data Engineer - […] Logistics

Data Connect is the trusted, unified logistics data layer that everything else at IFS.ai Logistics depends on — carrier, shipment, invoice and ERP data from dozens of fragmented sources, turned into one model that Transport Planning & Optimization and Shipper TMS both build on. Work here has outsized leverage: fix a pipeline in Data Connect and the improvement is felt across the whole platform.

We're hiring a Data Engineer to help build and run that platform. This is a hands-on, individual-contributor role — you'll own delivery of pipelines and platform features end-to-end within your area, working under the direction of the Lead Data Engineer rather than setting platform architecture yourself. It's a strong fit if you've got a couple of years of production data engineering experience and want to grow into more ownership over time, with senior engineers around you to learn from rather than being the most senior person in the room from day one.

What you'll work on

Pipelines and ingestion — build and maintain ETL/ELT pipelines that turn carrier, shipment, invoice and ERP data into the canonical Data Connect model; work on document data extraction (OCR/parsing for airway bills, POs, commercial invoices); extend carrier and ERP integrations and help onboard new data sources; implement data contract checks, validation and reconciliation so downstream teams can trust what they consume

Platform and data quality — keep the pipelines you own within their performance and quality SLAs;