Staff Software Engineer

About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
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During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

As a Staff 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.

This position is a unique opportunity to work on mission-critical projects 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.

Skills We’re Looking For

• Strong coding skills (10+ years) 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 proactively learn new tools, languages, or concepts when needed

Bonus Skills​

• Contributions to open source database technologies projects such as Apache Arrow, DuckDB, MongoDB Runtime, or other analytical data systems.
• Expertise in database systems, query engines, or storage systems.
• Experience with performance optimization, observability, or large-scale query engines.