Asset-backed multimodal logistics operator with 50,000+ containers across 29 terminals
Hub Group operates one of the largest intermodal networks in North America, with roughly 50,000 containers, nearly 4,000 drivers, and 29 terminals. The tech stack reveals a heavy data infrastructure play—Snowflake, Databricks, Kafka, dbt, Python—paired with Oracle ERP/HCM, suggesting a company moving beyond basic TMS into real-time operational analytics. Active projects around routing optimization, real-time data pipelines, and operational data stores indicate management is attacking their highest-friction costs (dray, driver retention, service efficiency) through data visibility rather than pure scale.
Notable leadership hires: Operations Director
Hub Group is a publicly traded logistics operator offering end-to-end supply chain solutions—intermodal, less-than-truckload, final-mile, and international freight—to mid-market and enterprise shippers. The company operates a network of 50,000 intermodal containers, nearly 4,000 company drivers, 6,000 trailers, and 29 terminals across the United States and internationally. Revenue comes from multimodal transportation, managed logistics services, and visibility/optimization software. Hiring is ops-heavy (58 open roles) with accelerating velocity, concentrated in the United States and India.
Core platform: Oracle Cloud ERP and HCM. Data: Snowflake, Databricks, Kafka, dbt, Python, SQL Server Integration Services. Frontend: React, Angular, TypeScript, JavaScript. WMS and Power BI for operations.
Oak Brook, Illinois. The company was founded in 1971 and is publicly traded. It operates 29 terminals across the United States and internationally, with hiring in the U.S. and India.
Hub Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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