Senior Data Engineer

About DAT

DAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, and Beaverton, OR, with additional offices in Seattle, WA; Springfield, MO; and Bangalore, India. For additional information, see www.DAT.com/company

 

Job Application Deadline: 03/31/2026

 

The Opportunity

About Outgo

We're a fast-growing product tackling a massive opportunity: the $800B US freight market. This industry comprises 1.6 million carriers, with 95% being small businesses operating 10 or fewer trucks. These hard working business owners often face tight margins while being forced to rely on predatory financial products laden with exorbitant rates, hidden fees, and restrictive contracts.

At the Outgo team at DAT, we're changing that. We're building an intelligent fintech platform from the ground up that truly understands the unique needs of trucking businesses. Our platform operates with radical transparency and fairness, optimizing cash flow to help truckers save more and grow their businesses.

Join our dynamic startup team in our mission to level the playing field and empower America's truckers with the financial tools they deserve.

About The Team

The Outgo engineering team is at the heart of revolutionizing financial services for truckers. We build robust, fault-tolerant systems that make real-time decisions and manage money flows with bank-grade reliability. Our technology transforms the accounts receivable process through intelligent automation and visualization, multiplying our operations team's effectiveness. For our customers, we craft intuitive, trustworthy applications that set a new standard for financial services.

Our modern data stack is built on Snowflake and DBT and powered by AWS infrastructure. We leverage cutting-edge tools including Pulumi, Postgres, and Claude Sonnet to deliver exceptional results.

Our seasoned engineering team brings deep experience from both successful startups and leading enterprises. We're looking for devops engineers who share our passion for building impactful products that make a real difference in people's lives. Here, you'll find a culture that values:

• Technical craft and engineering excellence
• Intellectual curiosity and continuous learning
• Strong team collaboration and camaraderie
• Individual autonomy and ownership

Join us in building a world-class product in an environment where quality and execution aren't just buzzwords—they're our daily commitment.

What You’ll Do

You are someone who…

• Demonstrates pride, ownership, and accountability for your work, and expect the same from those you work with
• Shares opinions openly on what's working and what's not across the product, tech stack, and team processes
• Works with cross-functional partners to solve business problems using data
• Builds, maintains, and owns datasets that are accurate and simple
• Seeks feedback early and often in the development process
• Identifies speed vs quality tradeoffs and balances them judiciously
• Believes diverse teams make better decisions, and actively fosters a culture where every person can do their best work

The Skills and Experience You’ll Bring

• 5+ years of experience as a Data Engineer, or in a similar role with a focus on building data infrastructure for analytical or product purposes.
• Track record of enabling product teams to make decisions using data
• Strong proficiency in SQL, data warehousing concepts and technologies (e.g. Snowflake), and data modeling concepts and tools (e.g. DBT)