Senior Data Engineer

DAT•Seattle, WA

22d•$140,000 - $188,000•Hybrid

About The Position

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

Requirements

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)
Proficiency in Python (or similar Object-Oriented Programming)
Experience in designing, building, and maintaining data pipelines and data ingestion processes
Experience with implementing monitoring and alerting for data pipelines
Bachelor's degree in Computer Science, Data Science, a related field, or equivalent experience

Nice To Haves

You have prior experience with payments, accounting, or financial technology
You have direct experience managing sensitive financial records
Experience with cloud platforms (e.g. AWS) and their data services (e.g. S3, Lambda)
Knowledge of stream processing frameworks (e.g. Kafka)
Experience with containerization technologies (e.g. Docker, Kubernetes)

Responsibilities

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