Senior Software Engineer

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 Jet Blue, Hub Spot, 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:

• Code-based data transformations unlock transparency, flexibility, and collaboration
• Analysts should adopt software engineering best practices to build trusted data products
• Core analytics infrastructure should be open source and user-controlled
• Analytic code—not just tools—should be shared and community-driven

dbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.

We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.

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.

• Design, build, and maintain services and features 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, Infrastructure, 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, Azure, GCP, Terraform, and Datadog.

• 6+ years of experience as a software engineer developing SaaS platforms and applications at scale
• Proven experience designing and scaling services.
• Strong understanding of API design, system architecture, and database management.
• Proficiency with languages and frameworks including 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.

• 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.

• Compensation:…