dbt Labs
Senior Software Engineer
Job Summary
The role involves designing, building, and maintaining scalable backend services and APIs that support data platform functionalities. Candidates should have at least 6 years of experience in software engineering, with proficiency in backend languages such as Python and Rust, as well as cloud technologies like AWS and Kubernetes. The position emphasizes technical excellence, cross-functional collaboration, and mentorship, aiming to improve platform performance, security, and usability for data practitioners. The company values innovation, ownership, and inclusive team culture.
Required Skills
Benefits
Job Description
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:
We are looking for an experienced Senior Software Engineer to help build and maintain scalable, reliable, and secure services that power our platform. In this role, you’ll work across multiple teams to design and implement foundational services and experience that enhance our product's capabilities, performance, and scalability.
We serve the most data-driven technology organizations in the world, enabling them to build data products that ultimately enable better decision-making using trusted, well-governed data. Your work will directly benefit our mission by improving the scalability, security, and usability of our platform for thousands of data practitioners.
As a Senior Engineer, you’ll collaborate cross-functionally with Product Management, Product Design and Infrastructure teams to solve complex technical challenges, mentor junior engineers, and contribute to best practices that drive engineering excellence.
Want a peek at what you’ll be working on? Our Launch Day blog post showcases the tools, ideas, and momentum driving our platform forward.
What You’ll Do:
- Design, build, and maintain backend services that scale with our growing customer base.
- Tackle ambiguous, open-ended problems with strategic thinking, balancing technical constraints with user needs and product goals.
- Build services, APIs, and experiences that support user delight, quality, high availability and performance.
- Champion a culture of technical excellence and innovation.
- Work with cross-functional teams, including Product, UX, and Security, to deliver impactful solutions.
- Contribute to engineering best practices, mentor junior engineers, and participate in design and code reviews.
- Debug production issues and optimize system performance using observability tools.
- Work with technologies such as Python, Rust, Typescript, Postgres, Kubernetes, AWS, Terraform, and Datadog.
Qualifications
- Have 6+ 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
What We’re Looking For:
- 6+ years of experience as a software engineer developing SaaS platforms and applications at scale
- Proven experience designing and scaling backend services.
- Strong understanding of API design, system architecture, and database management.
- Proficiency with backend languages and frameworks such as Python, Go, Rust, django, Node.js, Java, Spring.
- Familiarity with cloud infrastructure such as AWS, GCP, Azure, Kubernetes, Terraform.\
- Proficiency in designing API-driven applications using REST and/or gRPC.
- Experience building scalable and secure distributed systems.
- A systematic problem-solving approach, strong communication skills, and a sense of ownership.
- Ability to balance technical depth with fast, iterative delivery.
Nice to Have:
- Experience working with data engineering tools or data processing pipelines.
- Background in performance optimization and observability tools like Datadog.
- Experience working on distributed, remote-first teams.
Why You’ll Love Working Here:
- Compensation: 143,000 - 192,000 USD
- Equity Stake*
- Comprehensive benefits package, including:
- Unlimited PTO (and we encourage you to use it!)
- 401k with a 3% guaranteed contribution
- Excellent healthcare coverage
- Paid parental leave
- Wellness and home office stipends
Our Hiring Process (All Video Interviews)
- Introductory call with a Talent Acquisition Partner
- Technical Interview with Hiring Manager
- Team Interview
If you’re passionate about building well-designed, high-impact software, we’d love to hear from you!
#LI_RC1
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.
dbt Labs
dbt Labs makes data transformation easy for modern data teams. Build, test, and document reliable analytics in the cloud with dbt Labs..
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