About Us

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. You can learn more about our values here.

Over the past year we have built a next-generation multi-cell architecture and we are looking for a Senior Software Engineer ll to join the team and help add capabilities and migrate customers to the new deployments.

The cell-based architecture is a large-scale, worldwide distributed system, and this team has an outsize impact on every customer of dbt Labs. Today we serve some of the largest data-driven organizations in the world, enabling them to make decisions based on the knowledge at the core of their business. The quality, reliability, and performance our multi-cell implementation equates to leverage for analysts, analytics engineers, and data engineers in organizations of all shapes and sizes.

In this role, you can expect to:

  • Build cell-based application architecture that reliably and performantly delivers dbt Cloud to customers worldwide. You will work on a variety of technologies and features including our regional service layer, enabling self-service accounts across regions, cell migrations and product security.
  • Collaborate with multiple engineering teams, Product Management, Security, and Customer Support.
  • Work with a variety of programming languages, systems, and technologies, including: Golang, Python, Postgres, Kubernetes, Terraform, Auth0, and Datadog.
  • Drive scaling and automation initiatives.
  • Define tradeoffs and make decisions about what, how, and when we build. We are a fast-moving startup and building the right platform at the place where application and infrastructure meet unlocks reliability, quality, and productivity for the long term.


  • Have 7+ years experience in software engineering, including production experience supporting SaaS applications.
  • Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.) OR
  • Completed enrollment in engineering related bootcamp.

You are a good fit if you:

  • Have implemented large-scale distributed systems and have a deep interest in application performance, scalability, reliability, and operability.
  • Have designed and built cloud applications that include containerized workloads, Python or Golang, and at least some of our technology stack. You don’t need to be experienced with every technology we use today.
  • Have a systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.
  • Ensure high programming standards in your team by writing unit, functional, and integration tests and participating in timely, constructive code review.
  • Comfortable operating in fast paced environment the emphasizes making small changes to rapidly iterate, learn and deliver.
  • You are interested in our mission and values. You are inspired to drive progress in the data and analytics ecosystem.

You'll have an edge if you:

  • Have excellent written communication skills. We are a remote-first company that uses writing to facilitate decision-making.
  • Have experience with technical leadership.

Compensation and Benefits:

  • Salary: $180,000-$235,000 USD
  • Equity Stake*
  • Benefits - dbt Labs offers:
    • Unlimited vacation (and yes we use it!)
    • 401k w/3% guaranteed contribution
    • Excellent healthcare
    • Paid Parental Leave
    • Wellness stipend
    • Home office stipend, and more!

What to expect in the hiring process (all video interviews unless accommodations are needed):

  • Interview with a Talent Acquisition Partner 
  • Technical Interview with Hiring Manager
  • Team Interviews 
  • Final interview with leadership team member


Who we are

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

Specifically, we believe that:

  • Code, not graphical user interfaces, is the best abstraction to express complex analytic logic
  • 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 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 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! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here

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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