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Logistics Engineer

Job in Newark, Essex County, New Jersey, 07102, USA
Listing for: GPAC
Full Time position
Listed on 2026-09-03
Job specializations:
  • Supply Chain/Logistics
    Logistics Coordination, Inventory Control & Analysis
Salary/Wage Range or Industry Benchmark: 125000 - 140000 USD Yearly USD 125000.00 140000.00 YEAR
Job Description & How to Apply Below

Logistics Engineer

We are seeking an experienced Logistics Engineer to analyze, design, and optimize transportation, warehousing, distribution, and material-flow processes. This is an opportunity for an analytical, solutions-oriented professional who understands that logistics engineering is about more than moving freight—it is about finding better, faster, and more cost-effective ways to move it.

The ideal candidate will bring a strong combination of logistics operations knowledge, engineering principles, data analysis, process improvement, and project management.

What You'll Do

  • Analyze current transportation, warehouse, distribution, and material-flow processes to identify opportunities for improvement.
  • Design and implement logistics solutions that improve efficiency, capacity, service levels, and cost.
  • Develop and analyze operational models, KPI dashboards, and performance metrics.
  • Evaluate transportation networks, routes, facility layouts, inventory flows, and distribution strategies.
  • Identify bottlenecks, inefficiencies, and unnecessary costs and develop practical solutions.
  • Work closely with operations, transportation, warehouse, procurement, IT, and management teams to implement improvements.
  • Use data to support decisions involving capacity planning, transportation optimization, labor utilization, inventory movement, and facility operations.
  • Lead or support continuous-improvement initiatives, including Lean, Six Sigma, process mapping, and root-cause analysis.
  • Evaluate TMS, WMS, ERP, and other logistics technology to improve visibility and operational performance.
  • Develop business cases and ROI analyses for proposed logistics improvements.
  • Support implementation of new processes, systems, facilities, and operational strategies.
  • Monitor results following implementation and make adjustments to ensure improvements are sustained.
  • Prepare presentations and recommendations for senior leadership.

What We're Looking For

  • Bachelor's degree in Industrial Engineering, Logistics, Supply Chain, Operations, Engineering, or a related field.
  • 5+ years of experience in logistics engineering, supply chain engineering, industrial engineering, transportation, distribution, or a closely related environment.
  • Strong understanding of transportation, warehousing, distribution, and supply-chain operations.
  • Demonstrated experience using data to identify operational problems and develop measurable solutions.
  • Strong analytical and problem-solving abilities.
  • Advanced Excel skills; experience with data visualization and analytical tools is highly desirable.
  • Experience working with TMS, WMS, ERP, or other supply-chain technology platforms.
  • Experience with Lean, Six Sigma, process improvement, or similar methodologies.
  • Strong project management and communication skills.
  • Ability to work with both operational personnel and senior leadership.
  • Someone who can move beyond identifying problems and actually drive solutions through implementation.

Preferred Qualifications

  • Lean Six Sigma certification.
  • APICS/ASCM certification such as CPIM or CSCP.
  • Experience with transportation network optimization or warehouse/distribution-center design.
  • Experience with logistics modeling, simulation, or optimization software.
  • Experience in a high-volume transportation, distribution, manufacturing, or 3PL environment.
  • Strong knowledge of KPI development, cost modeling, and operational forecasting.

What's Offered

Base Salary: $125,000–$140,000, depending on experience and qualifications.

This is an excellent opportunity for a logistics professional who enjoys solving complex operational problems, improving processes, working with data, and seeing their recommendations turn into measurable results.

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