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Software Engineer, Backend Developer, Cloud Engineer - Software

Job in Oakland, Alameda County, California, 94666, USA
Listing for: Fivetran
Full Time position
Listed on 2026-10-08
Job specializations:
  • Software Development
    Software Engineer, Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
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 UsFivetran 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 If the idea of contributing to the critical and core services that drive the fundamental functioning and building blocks of data processing involved in our data pipelines, this opportunity fits you well. As an engineer on the core team, you will design,  implement, and maintain the central parts of our data pipelines needed to operate the best-in-class reliable, secure, and scalable data movement.  

You will prioritize the quality, efficiency, and reliability of the responsibility areas of the team while collaborating effectively with other peers and the rest of the engineering organization. The ideal candidate exhibits exceptional technical skills, meticulous attention to detail, creativity, motivation, and a results-oriented mindset.

This is a full-time hybrid position based out of our Oakland 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
17, JUnit5

Docker and KubernetesAWS, GCP, AzureSQL, Big Query Bazel , Build Kite What  You’ll DoDesign and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud

Develop, maintain, and test code Conduct design and code reviews

Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.

Understand and fix challenges related to performance and scalability.

Participate periodically in on-call rotation

Participate in the hiring process

Mentor Junior developers

Make Fivetran the most reliable and secure component of our customers’ data infrastructure

Skills We’re Looking For5+ years of experience in the software industry with a passion for solving complex software engineering problems.

Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.

Experience working with distributed…
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