Staff Software Engineer, Query Applications

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

• 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):

1. Interview with Talent Acquisition Partner
2. Interview with Hiring Manager
3. Team Interviews
4. Final interview with one of our Values Carriers