Senior Software Engineer, R&D Business Systems

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 the Role 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. We’re looking for a Senior Software Engineer within our Engineering Strategy and Operations group. Our Research and Development (R&D) department is dedicated to accelerating innovation. This role expedites internal R&D business systems development and bridges Fivetran feature development processes with business operations and data insights. You will be instrumental in building the infrastructure and tools that provide our R&D and business leaders with a unified, real-time view of R&D operations efficiency and market alignment. We are seeking a highly motivated and skilled Software Engineer to design, build, and maintain the critical systems and data pipelines that support our R&D organization. This role focuses on implementing technical solutions for key engineering and product processes, integrating core enterprise platforms, and transforming raw data into actionable business intelligence. This is a full-time, hybrid position based out of our Toronto 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 TypeScript/JavaScript, Python, and React; extend Atlassian Cloud via Forge and ScriptRunner; manage data flows in BigQuery and SQL; and deploy solutions on GCP using modern CI/CD practices. What You’ll Do Lead the development of custom system solutions, tools, and dashboards that power the R&D operations and seamless data flow and process alignment across the Fivetran feature development lifecycle. Design, develop, and maintain bidirectional integrations between core platforms such as Jira, Zendesk, Salesforce, and other GTM and G&A Systems to streamline the feature development lifecycle and R&D operations. Create ground-up and maintain custom AI agents and internal tools to help engineering managers, product Managers and leadership quickly access relevant data, draft compelling technical requirements and design, synthesize customer feedback, and align with strategic goals and OKRs to improve operational efficiency and launch innovative products faster. Design and build production-grade backend services and integration workflows in Python and TypeScript. Define API contracts, data models, and integration patterns with strong attention to reliability, idempotency, and security. Write high-quality, tested code with clear standards for unit, integration, and end-to-end testing. Own observability, operational readiness, and production support for internal tools and data pipelines. Build maintainable React-based internal applications with strong UX, accessibility, and performance practices. Leverage AI assistants to streamline IDE-based development in real-time and Coding Agents, such as Claude Code, to automatically generate code for use cases such as incident resolution, feature development, testing, investigations, and documentation. Create comprehensive technical documentation for all integrations, data models, and deployed systems. Build, maintain, and govern self-service analytics dashboards using tools such as Sigma and Looker Studio to measure and drive operational excellence in feature delivery and business velocity, in partnership with our centralized analytics team. Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex system engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch, leveraging industry best practices Proven experience developing integrations using APIs (REST/GraphQL), webhooks, and modern programming/scripting languages (Python, Java), and building systems leveraging low-code and full code solutions, and deploying them using modern CI/CD practices and ensuring observability. Strong proficiency in SQL, experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift), and experience with BI and data visualization tools such as Sigma, Looker Studio, Tableau, or Power BI. Experience building ground-up and deploying AI/ML-powered utilities or agents using LLMs (e.g., OpenAI, Claude, etc.) to automate code writing, documentation, or deliver intuitive and effective user-facing prototypes and full-scale solutions. Hands-on experience using, administering, and customizing core enterprise systems: Jira, Slack, Zendesk, Salesforce, Aha!, etc. Excellent communication skills in English with the ability to bridge the gap between technical details and business outcomes. Experience working cross-functionally with global, engineering, product, design, and data analytics teams. Ability to independently drive complex projects, breaking down large-scale initiatives into phased deliverables that provide eminent value to users without compromising on the vision and overall OKRs. Bonus Skills​ 3+ years of experience in automation/operations roles within high-growth SaaS or tech companies. Familiarity with the modern data stack (e.g., dbt, Airflow, Fivetran, Segment, or similar). Experience building custom internal tools, AI agents, or web applications to support business operations. This role represents new headcount added to the team to support continued growth and expansion of capabilities. #LI-HYBRID #LI-DC2 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $125,882 — $151,064.50 CAD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, in