Staff Software Engineer positions focus on delivering results in their domain. This page aggregates open Staff Software Engineer roles and what employers typically expect.
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. 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. 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 looking for a Staff Software Engineer to join our Database Connector team. This team builds and operates the core replication technology that powers reliable, scalable data movement for enterprise customers. This role is a strong fit for engineers who enjoy working close to database internals, change data capture, replication correctness, and large-scale distributed systems. You will lead the design and evolution of connector capabilities, investigate complex replication behaviors, and help shape the technical direction of systems that support mission-critical workloads, including large Oracle deployments. This is a full-time position based in our Toronto, Canada office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java, C/C++, SQL Relational databases and database internals Docker, Bazel, Buildkite GCP, AWS, Azure Linux, Unix, Windows, git What You’ll Do Design, build, and improve database connectors with a focus on correctness, performance, scalability, and operability. Investigate complex replication and CDC issues in production systems used by enterprise customers. Analyze low-level database behavior, logs, and transaction flows to support new features and improve reliability. Develop support for new database capabilities, especially in Oracle and other enterprise database platforms. Drive software design and technical roadmap decisions for the team. Improve observability, testing, and operational excellence across connector systems. Partner with engineers across teams to raise architecture quality and reliability across the broader platform. Mentor engineers and provide technical leadership through design reviews, implementation guidance, and hands-on development. What We’re Looking For Significant hands-on software engineering experience building backend, infrastructure, or distributed systems. Strong experience with Java and/or C/C++ in production systems. Deep understanding of database internals, transaction semantics, query behavior, and data consistency. Experience building or maintaining data replication, CDC, ETL/ELT, migration, or connector systems. Experience investigating low-level or poorly documented system b…