Lead Logistics Engineer

Socket.dev; Frisco (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Uber Freight seeks 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 and collaboration.

The ideal candidate combines freight economics expertise with advanced analytics using SQL, Python, Excel, and GCP, and translates insights into scalable solutions that improve efficiency, service, and profitability

Qualifications

• 7+ years of experience in logistics, transportation, freight brokerage, or supply chain network design.
• Advanced proficiency in SQL and Excel.
• Hands-on experience with Python for data analysis and modeling is a plus.
• Familiarity with optimization methodologies related to routing, capacity planning, and service level tradeoffs.
• Experience working within Google Cloud Platform (GCP) ecosystem.

Responsibilities

• Logistics Engineering & Network Optimization: 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. Identify network inefficiencies and design solutions that improve margin, service reliability, and scalability.
• Data Analysis & Technical Development: Conduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support engineering and business decisions. Build and maintain repeatable analytical frameworks for ongoing network evaluation and performance monitoring. Work with large scale datasets, databases, and ETL pipelines in fast moving operational environments. Develop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar BI tools.
• Decision Support & Stakeholder Collaboration: Partner with leadership to deliver scenario analysis and data backed recommendations aligned with industry best practices. Prioritize work based on business impact, risk, and operational urgency, balancing short term needs with long term strategy. Collaborate cross functionally with Product, Operations, Engineering, and Analytics teams to ensure solutions are well integrated and operationally viable. Communicate complex concepts clearly through strong visual design, storytelling, and written documentation.
• Documentation & Continuous Improvement: Produce detailed documentation and knowledge transfer materials to ensure solutions are sustainable, scalable, and repeatable. Maintain a continuous improvement mindset, proactively identifying opportunities to enhance tools, processes, and methodologies. Incorporate user feedback to refine analytical products and improve adoption and usability.
• General Skills & Competencies: Strong understanding of freight economics, cost drivers, and logistics network sensitivities. Highly analytical with the ability to think creatively and systematically about complex routing problems. Excellent organizational and prioritization skills in ambiguous, fast paced environments. Strong written and verbal communication skills, with an emphasis on clarity, influence, and collaboration. Ability to apply visual design principles to make analytical outputs intuitive and actionable.

Skills

SQL

Excel

Python

GCP

Data analysis

BI tools

Tools

Tableau

Power BI

Job description

Schedule: Full Time Job Type: Hybrid Salary Type: Salary Req #: 3123 No immigration sponsorship or transfer available for this role.

About the Role

Uber Freight is seeking a Lead Logistics Engineer to help 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 drive measurable business impact. This role partners closely with Product, Operations, Data Science, and Leadership to improve efficiency, service, and profitability across Uber Freight’s network.

What you will do

• Logistics Engineering & Network Optimization
  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. Identify network inefficiencies and design solutions that improve margin, service reliability, and scalability. Support initiatives related to continuous moves, dedicated fleets, loop based networks, and specialized routing strategies.
• Data Analysis & Technical Development
  Conduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support engineering and business decisions. Build and maintain repeatable analytical frameworks for ongoing network evaluation and performance monitoring. Work with large scale datasets, databases, and ETL pipelines in fast moving operational environments. Develop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar BI tools.
• Decision Support & Stakeholder Collaboration
  Partner with leadership to deliver scenario analysis and data backed recommendations aligned with industry best practices. Prioritize work based on business impact, risk, and operational urgency, balancing short term needs with long term strategy. Collaborate cross functionally with Product, Operations, Engineering, and Analytics teams to ensure solutions are well integrated and operationally viable. Communicate complex concepts clearly through strong visual design, storytelling, and written documentation.
• Documentation & Continuous Improvement
  Produce detailed documentation and knowledge transfer materials to ensure solutions are sustainable, scalable, and repeatable. Maintain a continuous improvement mindset, proactively identifying opportunities to enhance tools, processes, and methodologies. Incorporate user feedback to refine analytical products and improve adoption and usability.
• General Skills & Competencies
  Strong understanding of freight economics, cost drivers, and logistics network sensitivities. Highly analytical with the ability to think creatively and systematically about complex routing problems. Excellent organizational and prioritization skills in ambiguous, fast paced environments. Strong written and verbal communication skills, with an emphasis on clarity, influence, and collaboration. Ability to apply visual design principles to make analytical outputs intuitive and actionable.

Basic 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)

  Preferred Qualifications

  • Experience with VBA or legacy analytical tools
  • Familiarity with optimization methodologies related to routing, capacity planning, and service level tradeoffs
  • Hands‑on experience with Python for data analysis and modeling is a plus
  • Experience working within the Google Cloud Platform (GCP) ecosystem

  Benefits & Compensation for U.S. Employees

  Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short‑and‑long‑term disability coverage, life insurance and more.

  US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.

  About Uber Freight

  Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight.

  Learn more at www.uberfreight.com.

  Candidate Privacy Notice

  Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.

  EEOC

  Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.