Software Engineer, Fusion

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 90,000 teams every week, driving data transformations and AI use cases. As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners: Reliable, high-quality data is the fuel that propels AI-powered data engineering. AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve. We empower engineers to deliver reliable, governed data faster, cheaper, and at scale. dbt Labs 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 . As a Software Engineer working on dbt Fusion, you’ll help build a next-generation analytics engine written in Rust that significantly improves performance, correctness, and developer experience across dbt workflows. You’ll work on a modern, state-aware execution engine with deep SQL understanding across multiple warehouses, enabling faster debugging, smarter orchestration, and more efficient large-scale deployments. This role offers the opportunity to contribute to both open source and commercial code while shaping the future of dbt’s core platform. At dbt Labs, you’ll have the freedom and responsibility to own entire slices of the product, move with speed, and leave fingerprints all over features used by thousands of data teams. If you’re the type of engineer who can see the big picture, sweat the details, and still move like a startup founder, you’ll fit right in. This position is a unique opportunity to work on mission-critical projects for dbt that will significantly improve the experience of our customers and developers . You’ll help build truly differentiated systems and engines that sets us apart from other database technologies. What You’ll Do Collaborate with Product, Design, Operations, and Security to deliver well-architected, scalable compute solutions. Participate in technical architecture discussions with a focus on query engines, storage systems, and distributed database design. Build services, APIs, and experiences that support user delight, quality, high availability, and performance. Tackle ambiguous, open-ended technical challenges with strategic thinking, balancing technical constraints with user needs and product goals. Drive best practices in testing, observability, and system reliability. Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains. What We’re Looking For Strong coding skills in at least one of the following technologies: Rust, Python, Go or Java. Familiarity with cloud infrastructure (AWS, GCP, Azure, Kubernetes, Terraform). Proven ability to participate in complex projects and collaborate across functions. Excellent problem-solving skills, clear communication, and a strong sense of ownership. Interest in systems, data infrastructure, compilers, or analytical tooling , even if experience is primarily academic. Experience working on non-trivial projects (coursework, internships, research, open-source, personal projects) that required persistence and iteration. Willingness and enthusiasm to work across the stack and learn new technologies as the problem demands. Evidence of being self-directed and curious —you ... (truncated, view full listing at source)