Staff Software Engineer, Backend
Oakland, United States · Hybrid · Full-time
- Posted 2w ago
- From Fivetran’s careers page
- Location
- Oakland, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Senior
- Department
- Software Development
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About the role
About the Role
We’re looking for a Staff Software Engineer, Backend to join our Reverse ETL product engineering team.
What You’ll Do
- Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS.
- Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you.
- Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation.
- Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones.
- Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout
Skills We’re Looking For
- Can build things end-to-end. Our engineers build, deploy and maintain their code.
- Is adept with data, backend systems, APIs, and UI components.
- Is customer-focused, with an eye for building delightful product experiences and developer experiences.
- Approaches new problems with a scrappy optimism, with a bias towards action.
- Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business.
- Present and available online for synchronous and asynchronous collaboration with a team distributed across North America.
- Able to work in-person in our Toronto/Oakland office 2 days per week.
Skills they ask for
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About Fivetran
Automated data integrationFivetran provides automated data integration software that centralizes data from business applications, databases, and other sources for analytics.
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