About Us
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
- Code-based data transformations unlock transparency, flexibility, and collaboration
- Analysts should adopt software engineering best practices to build trusted data products
- Core analytics infrastructure should be open source and user-controlled
- Analytic code—not just tools—should be shared and community-driven
About the team
The Query Applications team is revolutionizing the modern data stack. We're enabling data-driven organizations to instantly access critical business metrics. These metrics are easily discoverable and consistently implemented across entire organizations—regardless of the analytics tool used.
Your role
Joining this team, you'll collaborate with subject matter experts who share a vision for how organizations should consume business metrics. You'll build a distributed, highly available system that empowers our customers to go beyond data modeling and proactively answer their most crucial business questions. These range from "What was our gross revenue last quarter in the EU?" to "Which of our medications can we afford to make available at a lower price?".
While the backend is crucial, this full-stack team also ensures that end users have a delightful experience with the Semantic Layer. We achieve this by creating excellent ergonomics for the project, including building LLM-powered productivity tools for analytics engineers.
In this role, you can expect to:
- Mentor teammates and serve as a technical lead
- Design and implement scalable, reliable, and highly available systems
- Prioritize end-user experience and contribute to its continuous improvement
- Balance trade-offs, set priorities, and manage deliverables using your project completion expertise
- Foster efficient and confident teamwork through high-leverage tooling, mentorship, and your knowledge of industry trends and best practices
- Establish and uphold quality standards to enhance overall service reliability
- Participate in daily stand-ups, mentoring sessions, and pair programming
You are a good fit if you:
- Worked asynchronously as part of a fully remote, international, distributed team
- Have experience using Python or Go to create scalable full-stack applications (e.g., building services for applications with complex workflows)
- Enjoy collaborating closely with product management partners
- Have worked with Large Language Models (LLMs) in the past
- Value interacting with end-users and deeply understanding their needs
- Can make informed trade-offs to ship useful features promptly without compromising long-term quality
- Love backend work but have frontend experience and can reason about end-to-end systems
You'll have an edge if you have:
- Have experience with distributed systems, database modeling, caching layers and/or DB performance
Salary:We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.
- The typical starting salary range for this role is: $172,000 - $207,900 USD
- The typical starting salary range for this role in the select locations listed is: $191,000 - $231,000 US
- Equity Stake
- Benefits - dbt Labs offers:
- Unlimited vacation (and yes we use it!)
- 401k plan
- Excellent healthcare
- Paid Parental Leave
- Wellness stipend
- Home office stipend, and more!
*Equity or comparable benefits may be offered depending on the legal limitations
What to expect in the hiring process (all video interviews unless accommodations are needed):- Interview with Talent Acquisition Partner
- Interview with Hiring Manager
- Team Interviews
- Final interview with one of our Values Carriers
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.
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What We Do
At dbt Labs, we make data work. Our open-source software, dbt, enables anyone who knows SQL to engineer, document, and test data pipelines. By empowering analysts to work like and with data engineers, dbt drastically increases an organization's ability to model and serve analytics. We’ve built a community of 100,000+ people and are backed by top investors including Andreessen Horowitz and Sequoia Capital. dbt is already used and loved by thousands of companies and dbt Cloud enables this workflow at scale.
dbt Labs headquarters are in Philadelphia, Pennsylvania, but we are a distributed team and advocate for a remote-first culture. We want our people to work from the places where they are happiest, healthiest, and most inspired to do great things.
Why Work With Us
At dbt Labs, we bring our whole selves to work. We bring our interests and experiences, our cultural influences, our physical and emotional needs, our communication styles and lifestyles, our values, and our curiosity. We have built a lot of trust in each other, and we work hard to be worthy of it.
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