Senior Software Engineer

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. We've pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and have been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today, there are 50,000 teams using dbt every week, 100,000 dbt Community members, and over 5,100 dbt Cloud customers.

As of February 2025, we surpassed $100 million in annual recurring revenue (ARR), scaling from $2M ARR to this milestone in only four years. Simultaneously, we've exceeded the 5,000 customer mark, with 85% year-over-year growth in adoption among Fortune 500 companies. This momentum is fueled by dbt’s critical role as the data control plane for enterprise data teams around the world, who rely on the technology to transform data into reliable, actionable business insights. We're rapidly growing and looking for passionate people to join our global team.

We are looking for a Senior Software Engineer to join the Experience group. In this role, you will partner with the Engineering Team to create delightful and powerful tools for analytics engineers. We are building a tailor-made clients IDE, CLI and a Low Code No Code (LCNC) platform that is deeply-integrated with the dbt ecosystem (including other dbt Cloud products), aiming to put more context at the fingertips of our users than they're able to get in any other development environment. Data teams everywhere will use your work to create organizational knowledge and power their daily business decisions.

In this role, you can expect to

• Help build and maintain dbt Cloud clients including the new LCNC platform, IDE and CLI app layer, backend services, performance, and scalability while relentlessly expanding its feature-set and capabilities
• Manage trade-offs, priorities, and deliverables by applying your experience in bringing projects to successful completion
• Work with teammates to build confidently and quickly via high-leverage tooling, mentorship, and your experience and knowledge of industry trends and practices
• Help define quality standards and drive the overall reliability of our services
• Participate in Daily Standups, mentee sessions, and pair programming

Qualifications

• Have 3-6 years of experience as a software engineer
• Minimum requirement of bachelor's degree in a related field (computer science, computer engineering, etc.) OR completed enrollment in engineering related bootcamp

You are a good fit if you

• Have experience with using Python or Go to create scalable full-stack applications. For example, you have built services for applications with complex workflows
• Enjoy working closely with product and design
• Value interacting with end-users and deeply understand their needs
• Understand how to make tradeoffs to ship useful features today without sacrificing long-term quality
• Prefer to work in the backend, but have experience with the frontend and can reason about the end-to-end system

You have an edge if you

• Have worked on an application similar to this one, such as a visual design tool, an analytics application, or an IDE
• Have experience scaling applications, especially those with runtimes in Kubernetes and AWS
• Experience working in a distributed company

What to expect in the hiring process:

• An introductory call with a member of our Talent team
• A technical screen and meeting with the Hiring Manager
• A coding interview conducted in a collaborative, pair programming format
• A panel interview including multiple members of the Engineering Team
• A final interview with a member of our Engineering Leadership Team

Who we are

At dbt Labs, we have developed strong opinions on how companies should practice analytics.

Specifically, we believe that:

• Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
• Data analysts should adopt similar practices and tools to software developers
• Critical analytics infrastructure should be controlled by its users as open source software
• Analytic code itself—not just analytics tools—will increasingly be open source

It turns out that a lot of other people believe this too! Today, there are 50,000 teams using dbt every week, 100,000 dbt Community members, and 5,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.

dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns. If you are on the fence about whether you meet our requirements, we encourage you to apply anyway!