Staff Software Engineer, Fullstack

About the role

You will own the design and delivery of the Reverse ETL product capabilities that power data activation across the Fivetran platform. You will translate ambiguous product requirements into robust, scalable fullstack solutions that span frontend interfaces and backend data pipelines. You will collaborate closely with product managers, designers, and cross-functional engineers to define architecture, prioritize deliverables, and shepherd features from conception through production. You will mentor junior engineers, influence technical standards, and ensure that shipped experiences meet high bars for reliability, performance, and usability. You will also contribute to on-call rotations to support production systems and respond to incidents in a timely, professional manner.

Key facts

What you'll do

Define and architect new features for the Reverse ETL product across the full stack, balancing user experience, scalability, and operational reliability.

Lead the implementation of critical product surfaces in the Fivetran dashboard, ensuring responsive, intuitive, and accessible interfaces for a diverse set of users.

Integrate authentication, authorization, and billing flows so that data activation capabilities align with enterprise-grade security and compliance requirements.

Collaborate with data platform teams to design and consume reliable data models that support activation use cases across diverse warehouse environments.

Partner with the product team to refine roadmaps, translate business objectives into technical deliverables, and execute against ambitious timelines.

Write clean, testable, and maintainable code that adheres to best practices, code reviews, and documentation standards across frontend and backend services.

Investigate and resolve production issues, applying debugging and monitoring tools to diagnose problems and implement robust fixes.

Work within a distributed, agile team to coordinate sprint planning, standups, and retrospectives, contributing to continuous improvement of engineering processes.

Mentor and guide engineers of varying experience levels, fostering a culture of learning, knowledge sharing, and inclusive collaboration.

Participate in on-call rotations to support production services, ensuring timely response and mitigation of incidents affecting customer data workflows.

Engage with the broader Fivetran and dbt Labs communities to understand platform constraints, surface technical debt, and advocate for sustainable solutions.

Contribute to the long-term technical vision of the Reverse ETL product, evaluating tools, frameworks, and architectures that support future growth.

Requirements

You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or have equivalent practical experience.

You have 5 or more years of professional software engineering experience across frontend and backend domains.

You demonstrate advanced proficiency in at least one interpreted language such as Python, Ruby on Rails, or similar server-side scripting environments.

You bring hands-on experience with at least one compiled language such as Go, Java, C++, Kotlin, or Scala.

You possess a solid understanding of relational database concepts and have practical experience with data warehousing solutions like Snowflake, BigQuery, or Redshift.

You have a strong track record of system integration, including building and consuming RESTful APIs, handling authentication protocols, and managing webhook integrations.

You show comfort working in cloud-native environments, with familiarity with containerization, orchestration, and infrastructure-as-code practices.

You communicate clearly and constructively with both technical and non-technical stakeholders, articulating tradeoffs and rationale during design discussions and code reviews.

Nice to have

Experience contributing to open source projects or public repositories that demonstrate engineering craftsmanship.

Familiarity with modern JavaScript or TypeScript frameworks used in frontend applications.

Knowledge of data transformation tools and concepts, particularly within the dbt ecosystem.

Exposure to CI/CD pipelines and automated testing strategies across fullstack services.

Understanding of security and compliance considerations for enterprise data platforms.

Practical notes

This is a full-time position based out of our Toronto, ON 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.

No sponsorship is available for this role at this time.

Candidates must be authorized to work in Canada without sponsorship.

The listed location is fixed and does not allow remote relocation outside of Toronto, Ontario, Canada.

Application deadline is not specified; interested candidates are encouraged to apply promptly.