DAT Freight & Analytics is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of freight and logistics innovation for nearly five decades. Founded in 1978, DAT operates the largest freight marketplace in North America — processing 250 million+ load posts annually and maintaining one of the largest repositories of freight market transaction data in the world. On a defined path to $1 billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately, source capacity, reduce risk, and operate more efficiently. With nearly 700 teammates across offices in Denver, CO; Portland, OR; Seattle, WA; Springfield, MO; Toronto, ON; and Bangalore, India, DAT combines the credibility of a multi-decade market leader with the drive of a company that is not done disrupting the industry it helped build. For more information, visit www.DAT.com About the Trucker Tools Team at DAT The Load Tracking Team is the eyes and ears of the modern supply chain. We are on a mission to eliminate the "Where’s my truck?" phone call forever by building the industry’s most reliable, real-time visibility engine. Our team handles the ground truth of logistics. We build high-precision tracking tools and seamless ELD integrations that turn millions of raw GPS pings into actionable data. By automating the flow of information between brokers, shippers, and carriers, we reduce friction and ensure million-dollar shipments arrive exactly when they should. If you’re a curious, high-growth engineer excited about solving complex geolocation challenges and building the tech that powers the next generation of automated freight, you’re in the right place. The Opportunity We are seeking a Software Engineer I with a foundation in modern PHP or TypeScript and an insatiable appetite for learning. In this role, you won’t just be writing code; you’ll be mentored by Senior Engineers to master the craft of building scalable SaaS solutions. We aren't looking for a finished product—we’re looking for someone who is AI-forward and ready to leverage the latest tooling to accelerate their development and solve problems faster. If working with massive geospatial data and exploring the frontier of LLMs in logistics excites you, we want to help you kickstart your career here.
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Job Type
Full-time
Career Level
Entry Level