Traffic & Revenue Junior Engineer

About us

The Commonwealth of Virginia selected a Cintra-led consortium to finance, design, build, operate, and maintain express lanes on Interstate 66 Outside the Beltway. The project aims to relieve congestion, improve safety, and provide more predictable travel times. The project corridor extends approximately 22 miles along Interstate 66 from the Capital Beltway (I-495) to Gainesville (US Route 29). It includes three toll-free general-purpose lanes in each direction and two express lanes in each direction with an advanced open-road electronic toll collection system. The project also features expanded transit service, park-and-ride lots, and interchange enhancements, connecting shared use paths for multimodal options. This innovative public-private partnership will save the Commonwealth of Virginia $2.5 billion.

Job Description

Objective: As the Traffic & Revenue Trainee, you will gain exposure to various projects involving data analysis, sketch modeling, and strategy. You will learn how insights developed are used to create actionable insights influencing the company's pricing and customer-facing strategies. You will develop your skills as a data-driven storyteller to provide insights and solutions for increasing traffic and improving facility performance.

• Combine and interpret multiple proprietary datasets for ad-hoc trend analyses.
• Analyze traffic and socioeconomic data of concession companies and their areas of influence.
• Develop forecast models for potential business development opportunities.
• Define, implement, and analyze traffic data collection programs, including traffic counts, market research surveys, opinion polls, and travel time surveys.
• Prepare memos examining trends, leading indicators, and travel patterns within regions of interest to the company.
• Evaluate the feasibility and usefulness of additional traffic data collection and market research.

Required Qualifications

• Master's degree in Transportation or related field preferred.
• Civil Engineering degree or related field required.
• Experience with Excel, Power BI, Tableau, ArcGIS, TransCAD, Cube, SAS, Python, and MySQL.
• Experience with discrete choice modeling, econometrics, or data mining is valuable.
• High proficiency with Microsoft Office.
• High-level familiarity with data structures.
• Superior writing and verbal communication skills.
• Ethical, caring attitude, and ability to work collaboratively.