Senior Full Stack Engineer, Orchestration

About Us

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. Learn more about what makes us special by checking out our values here.  

The Orchestration team owns and operates some of the most critical services at dbt Labs that power job scheduling and execution for dbt Cloud. We are simultaneously evolving our product and system while operating at scale, meeting strict uptime requirements, and satisfying the needs of large enterprises.

We are seeking a Senior Full Stack Engineer with extensive frontend expertise and a deep passion for creating delightful customer experiences. You will play a key role in delivering our ambitious roadmap and shaping our frontend architecture, all while collaborating in a highly dynamic team environment.

In this role, you can expect to:

• Help to design and develop innovative orchestration features end-to-end.
• Own and drive enhancement in the orchestration frontend.
• Work on complex systems and a variety of programming languages and technologies, including: Python, TypeScript, React, Go, Postgres, Redis, Kubernetes, AWS, Terraform and Datadog.
• Work closely with UX designer, PM, full stack and backend engineers of all levels, collaborate with multiple engineering teams across dbtLabs (from product engineering to infrastructure).
• Take ownership of systems post-release by participating in on-call and support rotations
• Act as a mentor to other engineers, providing guidance on best practices and architectural decisions

You are a good fit if you:

• Are able to balance speed of delivery with designing and implementing reliable, secure, highly available services
• Are an expert in frontend development with Typescript and React, driven by a passion for creating delightful customer experiences
• Have a strong knowledge of observability and debugging production issues at scale
• Have a systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.
• Are passionate about upholding engineering best practices in all phases of SDLC
• Are a self-starter and can lead a group of engineers from inception to implementation of ideas

You'll have an edge if you have:

• Worked asynchronously as part of a fully-remote, distributed team
• Have experience in the domain of data analytics and transformation

 

Compensation and Benefits:

• Salary: 84,000 - 110,000 Euro per year
• Equity Stake*
• Benefits - dbt Labs offers:
  • Unlimited vacation (and yes we use it!)
  • 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
• Coding Challenge
• Systems Design & Product Partner
• Final interview with leadership team member

#LI_RC1

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 infra