Lead Logistics Engineer: Data-Driven Network Optimizer

Uber Freight

Chicago (IL)

Hybrid

USD 131,000 - 160,000

Full time

14 days+

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Job summary

Uber Freight is seeking a Lead Logistics Engineer to design, analyze, and optimize complex freight networks at scale. This role sits at the intersection of data, technology, and logistics operations, supporting strategic and tactical decisions through rigorous analysis, modeling, and collaboration.

The ideal candidate brings a strong understanding of freight economics and network behavior, pairs it with advanced analytical skills, and translates insights into scalable, repeatable solutions that

Qualifications

  • 7+ years of experience in logistics, transportation, freight brokerage, or supply chain industry experience & network design.
  • Advanced proficiency in SQL and Excel (complex formulas, scenario modeling).
  • Familiarity with databases, ETL workflows, and large scale operational datasets.

Responsibilities

  • Analyze and optimize freight routing, capacity utilization, and cost structures across complex transportation networks.
  • Apply optimization techniques to balance cost, capacity, service level, and operational constraints.
  • Develop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar BI tools.
  • Collaborate cross functionally with Product, Operations, Engineering, and Analytics teams to ensure solutions are well integrated and operationally viable.

Skills

SQL
Excel
Tableau
Power BI
Python

Tools

GCP tools
ETL pipelines
Databases

Job description

Uber Freight is seeking a Lead Logistics Engineer to design, analyze, and optimize complex freight networks at scale. This role sits at the intersection of data, technology, and logistics operations, supporting strategic and tactical decisions through rigorous analysis, modeling, and collaboration.

The ideal candidate brings a strong understanding of freight economics and network behavior, pairs it with advanced analytical skills, and translates insights into scalable, repeatable solutions that

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