Fivetran
SoftwareEngineerIII
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer III at Fivetran. Skills: Data pipelines, Reverse ETL, AI, SaaS ingest pipelines, Entity Resolution, Full-stack development (Ruby on Rails, Typescript, Vue, AWS), System integration, Mentoring, Code reviews, Best practices, Project leadership, Cross-team collaboration, AI-assisted development. Make contributions to all parts of our tech stack. Fill in the gaps in product / design specs”
What You'll Achieve.
Make Fivetran the one-stop shop for data activation; Scale workflows with AI; Support the integration of Census into Fivetran
Industry & Context.
Approaches new problems with a scrappy optimism; Debug workflows with AI-assisted tools
What They're Looking For.
Must Have
Expertise in at least one interpreted language such as Python or Ruby, Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc., Solid understanding of relational databases, Proven experience in system integration, including API consumption and development, Familiarity with leading cloud providers, such as GCP, AWS, or Azure, Comfort using AI-assisted development tools such as Claude Code, Cursor, or GitHub Copilot to prototype, debug, automate workflows, and move faster while maintaining engineering judgment
Nice to Have
experience with data warehousing solutions (e. g. , Snowflake), experience with infrastructure management
What You'll Do.
Make contributions to all parts of our tech stack
Fill in the gaps in product / design specs
Prototype to test ideas out before committing to building
Design and develop features
deploy and maintain their code
Work on experimental initiatives in the Reverse ETL group
Support the integration of Census into Fivetran
Migrate observability from Datadog to Grafana
Help engineers and non-engineering partners scale their workflows with AI
How You'll Work.
Team & Collaboration
Work closely with our product team, leaders, and customers; 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; Drive research spikes; Write and socialize design documents; Plan the implementation and rollout; Connect and build as a team (in-person collaboration)
Communication Scope
Socialize design documents; Thoughtful and constructive code reviews
Process & Methodology
Lead major projects, Driving research spikes, Writing and socializing design documents, Planning the implementation and rollout
Full Job Description
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 is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a senior software engineer to join our Reverse ETL experimental engineering team. We are a small, flexible team that works on experimental initiatives in the Reverse ETL group (formerly Census). Our team has built our most experimental products, from Census Embedded, to SaaS ingest pipelines, and Entity Resolution product. Today, our work spans two areas: helping engineers and non-engineering partners such as PMs and CSEs scale their workflows with AI, and supporting the integration of Census into Fivetran through efforts such as migrating observability from Datadog to Grafana. This is a full-time 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 Expertise in at least one interpreted language such as Python or Ruby. Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc. Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus) Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus) Familiarity with leading cloud providers, such as GCP, AWS, or Azure 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 pro
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