Logistics Engineer

Redwood Logistics; United States; On-site; USD 70,000 - 80,000; Full time

Benefits offered by this job

Learning & Development opportunities

Internal mobility

Employee referral bonus program

401k plans with match

Paid time off & holidays

Parental leave

Job summary

Redwood Logistics is seeking a Logistics Engineer for its Managed Services organization. The role focuses on identifying and modeling transportation optimization opportunities for our managed clients, combining logistics expertise with analytical and technical skills to reduce costs and improve networks.

You will work with Client Success, Data Science, Reporting & Analytics, Technology, Solution Design, Operations, and customer teams to deliver engineering solutions and ongoing improvements in

Qualifications

• Bachelor’s degree in Supply Chain, Logistics, Industrial Engineering, Analytics, or a related field.
• Professional experience in transportation, logistics, supply chain operations, or transportation engineering.
• Strong knowledge of transportation operations including truckload, LTL, consolidation, routing, mode selection, transportation rates, and equipment utilization.
• Strong analytical and problem-solving skills with ability to apply logistics knowledge to data and modeling.
• High proficiency with Microsoft Excel; experience with transportation optimization, network modeling, simulation, SQL, or similar tools is a plus.
• Strong communication skills with the ability to translate analysis into clear business recommendations.
• Detail-oriented, curious, and comfortable working with complex transportation data.
• Ability to collaborate across technical, operational, commercial, and customer-facing teams.

Responsibilities

• Perform engineering studies including consolidation, mode optimization, LTL pooling, center-of-gravity analysis, and route optimization.
• Analyze transportation data to identify opportunities and model alternative network, mode, consolidation and routing strategies.
• Apply logistics knowledge to develop realistic modeling assumptions, evaluate results, and recommend practical solutions.

Skills

Analytical skills

Communication

Excel

SQL

Network modeling

Education

Bachelor’s degree in Supply Chain/Logistics/Industrial Engineering or Analytics

Tools

Excel

SQL

Network modeling

Transportation optimization tools

Job description

Reports To: Senior Director, Client EngineeringLocation: Remote (within the U.S.)Environment: RemoteStatus: Exempt, salaried

Who We Are

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico. Leveraging a comprehensive range of services, data-centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid-market segment within the freight tech industry. Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.

Purpose Of Your Work

As a Logistics Engineer working within Managed Services (one of our entities), you will be responsible to identify and model transportation optimization opportunities for Redwood's managed clients. You will combine logistics expertise with analytical and technical skills to improve transportation networks, reduce cost, and develop practical recommendations for customers. This role works closely with Client Success, Data Science, Reporting & Analytics, Technology, Solution Design, Operations, and customer teams to deliver engineering solutions and continuously improve how we identify and solve transportation challenges.

How You Make a Difference Everyday

Transportation Engineering & Optimization

• Perform engineering studies including consolidation, mode optimization, LTL pooling, center-of-gravity analysis, continuous improvement assessments, and route/milk-run optimization.
• Analyze transportation data to identify opportunities and model alternative network, mode, consolidation, and routing strategies.
• Apply logistics and operational knowledge to develop realistic modeling assumptions, evaluate results, and recommend solutions that make sense in practice.

Data, Tools & Continuous Improvement

• Prepare and validate data for engineering studies, including location normalization, shipment segmentation, and transportation cost baselines.
• Use transportation optimization, rating, simulation, and network modeling tools to execute studies and evaluate opportunities.
• Partner with Data Science and Solutions to develop tools and processes that improve Engineering efficiency, quality, consistency, and modeling capabilities.

Customer Value

• Proactively identify opportunities through supply chain assessments that consider both transportation data and customer priorities.
• Quantify opportunities using consistent savings methodologies and translate findings into clear, actionable recommendations.
• Present findings to customers and internal teams and provide Engineering expertise to support implementation planning.

What Success Looks Like

Successful Logistics Engineers combine transportation knowledge with strong analytical judgment. You understand how supply chains operate, know how to use data and modeling tools to uncover opportunities, challenge results when they do not make operational sense, and turn analysis into recommendations customers can act on.

You’ve Got This?

• Bachelor’s degree in Supply Chain, Logistics, Industrial Engineering, Analytics, or a related field.
• Professional experience in transportation, logistics, supply chain operations, or transportation engineering.
• Strong knowledge of transportation operations, including truckload, LTL, consolidation, routing, mode selection, transportation rates, and equipment utilization.
• Strong analytical and problem-solving skills with the ability to apply logistics knowledge to data and modeling.
• High proficiency with Microsoft Excel and strong technical aptitude; experience with transportation optimization, network modeling, simulation, SQL, or similar analytical tools is a plus.
• Strong communication skills with the ability to translate analysis into clear business and customer recommendations.
• Detail-oriented, curious, and comfortable working with complex transportation data.
• Ability to collaborate effectively across technical, operational, commercial, and customer-facing teams.

What We Offer

• Access to experts and resources for your Learning & Development journey
• Opportunity for internal mobility
• Employee referral bonus program
• Employee Resource Groups (ERGs)
• Annual fundraising and volunteer events to give back to communities
• Paid time off, floating holidays, time off to volunteer and rollover
• Paid parental leave
• Medical, dental, vision and 401k plans (with match)
• Flexible spending account, mass transit and dependent care plans available
• Health savings account, with a annual company contribution for plan participants
• Short-term and long-term disability; life insurance policies subsidized by company
• Additional benefits including pet insurance, accident care, access to legal advice and more

Work Schedule

This position is full-time and remote Monday through Friday from 8:00 AM to 5:00 AM with an hour break, but flexibility is available based on coverage.

Compensation Range

Salary Range:
$70,000 - $80,000
This position is eligible to earn annual incentives based on individual and company performance.

Redwood is an equal opportunity employer. Employment decisions at the Company are based on individual merit, qualifications, abilities, and the Company’s needs and resources. The Company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual’s actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law.