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Pricing Engineer

Job in Downers Grove, DuPage County, Illinois, 60516, USA
Listing for: Roadrunner
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineer, Data Science Manager
Job Description & How to Apply Below
Roadrunner's Smart Long Haul is revolutionizing the industry with significant investments in technology, a culture of continuous improvement, and intelligent and efficient direct routing. A Top 100 Trucking company by Inbound Logistics and a Top Tier Service Carrier by Mastio, Roadrunner is an LTL industry leader on the rise.

As a long-haul, metro-to-metro LTL carrier, Roadrunner offers more direct routes than any other nationwide Less-than-Truckload carrier in the United States. With a nationwide presence, terminals across 40+ markets, and more than $400 million in revenue, the company's Smart Long-Haul Network is the preferred choice for shippers looking to move freight quickly and reliably.

Roadrunner is growing and looking for a highly motivated Pricing Engineer to join our winning team. If you are results driven and looking for a rapidly growing company with high growth and earnings potential, apply today!

We Run Safe. We Run Smart. We Run Together.


Job Description

Summary:



This role is built for someone with strong analytical horsepower and high curiosity.

You may come from engineering, mathematics, statistics, or a quantitative field. What matters is your ability to break down complex problems, work with data at a deep level, and apply mathematical reasoning to real business decisions.

You will support both day-to-day pricing execution and, over time, contribute to more strategic initiatives: identifying patterns, solving problems, and helping shape pricing decisions across the business.

You will work in a fast-paced environment with real deadlines and high expectations. There is no micromanagement here. Output and ownership matter.

Critical

Job Functions:

  • Execute pricing work with speed and accuracy
    • Analyze customer and market data to develop pricing recommendations
    • Support bids for direct customers and 3PLs, balancing yield and network capacity
    • Build and maintain pricing models using Excel and internal systems
  • Manage daily workflow independently
    • Process incoming pricing requests from Sales through internal systems
    • Ensure accuracy, speed, and consistency across deliverables
    • Manage multiple priorities and deadlines without constant oversight
  • Solve problems and identify gaps
    • Recognize data inconsistencies, investigate and identify root causes
    • Apply logical and statistical reasoning to support pricing decisions
    • Propose solutions and recommendations
  • Support pricing decisions
    • Support pricing initiatives and projects that impact margin and growth
    • Identify trends in customer behavior, pricing performance, and market shifts
    • Help improve tools, processes, and pricing logic
  • Collaborate cross-functionally
    • Partner with Sales, Operations, and leadership to align pricing decisions
    • Participate in customer discussions when needed, supporting pricing insights
Job Requirements:
  • Bachelor's degree in Engineering, Mathematics, Statistics, Data Analytics, or a related field
  • Strong foundation in mathematics, statistics, or quantitative analysis
  • 3+ years of experience in analytics, engineering, or data-focused roles
  • Ability to work with large datasets, identify patterns, and build logical models
  • Experience applying quantitative reasoning to real-world problems
  • Strong Excel skills (pivot tables, advanced formulas required)
  • Exposure to SQL (ability to write queries preferred)
  • Familiarity with Microsoft Access or similar tools is a plus
  • Exposure to Python, R, or other programming languages is a plus
  • Exposure to AI, machine learning, or data experimentation is a strong plus.
More important than tools:
  • Strong problem-solving ability and analytical thinking
  • High curiosity and willingness to learn quickly
  • Ability to work independently and manage deadlines
  • Clear communication: can explain the "why" behind the numbers
  • Work ethic: you take ownership and follow through
Core Competencies
  • Analytical thinking
  • Problem solving and pattern recognition
  • Ownership and accountability
  • Learning agility
  • Data interpretation and storytelling
  • Attention to detail
  • Cross-functional collaboration
  • This role requires strong quantitative thinking. If your experience is primarily executing tasks without deeply understanding the data behind them, this role will not be a fit.
Physical Demands…
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