Staff Software Engineer

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.

Fivetran + dbt Labs is looking for a Staff Software Engineer to join our dbt Platform Services teams. In this role you can expect to create and maintain stable, scalable services that are foundational to the dbt platform cloud product, based off solid architectural principles. We’re also driving forward the next evolution of the dbt platform by redesigning our external APIs to power improved user experiences. From rethinking our core data model and entities, to scaling our APIs accessing state that power hundreds of thousands of dbt run executions a day, you’ll be working on some of the most crosscutting and high scale work at dbt Labs today.

You’ll be joining a collaborative team of engineers; and as a Staff Engineer on the team, you will prioritize and tackle problems as they arise, working iteratively with product management, security and QA to deliver a great experience for our dbt Cloud administrators and end users.

Today we serve some of the largest data-driven organizations in the world, enabling them to make decisions based on the knowledge at the core of their business. Your work directly impacts dbt Lab’s mission by expanding the organizations we serve and the data practitioners we reach. You will have an opportunity to flex into a security mindset while bringing your software architecture and programming skills. You will also have an opportunity to mentor and guide other junior engineers across engineering and advocating for platform-focused security.

This is a full-time position based in Ireland.

Python (Django), Go, React, Postgres, Kubernetes, AWS, Terraform and Datadog. 

• →Design, build, and maintain full stack applications that scale with our growing customer base.
• →Lead technical architecture discussions, ensuring the platform is performant, maintainable, and secure.
• →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.
• →Work closely with Product, Design, Operations, and Security teams to deliver well-architected solutions.
• →Define and drive best practices in testing, observability, and system reliability.
• →Mentor engineers across the company, fostering technical growth and collaboration.
• →Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains.

• 10+ years of experience as a software engineer developing SaaS platforms and applications at scale
• Proven experience designing and scaling full stack applications.
• Proficiency with backend languages and frameworks such as Python, Go, Rust, django, Node.js, Java, Spring.
• Strong understanding of API design, system architecture, and database management.
• Experience leading complex projects and driving cross-functional collaboration.
• A systematic problem-solving approach, strong communication skills, and a sense of ownership.
• Familiarity with cloud infrastructure such as AWS, GCP, Azure, Kubernetes, Terraform.
• Ability to mentor engineers and influence technical direction across teams.

• Proficiency with modern frontend frameworks including React and TypeScript
• 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.