Staff Software Engineer, Semantic Layer

About Us

About the team

The Semantic Layer 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
• Have worked with the Semantic Layer

Qualifications:

• Have 8+ 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

Compensation & Benefits

• Salary: 500,000 - 635,000 BRL per year
• Equity Stake
• Benefits (via Remote.com):
  • Unlimited vacation (and yes we use it!)
  • Paid Parental Leave
  • Wellness stipend
  • Home office stipend, and more!

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

#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 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.