Staff Software Engineer

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.

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re seeking an enthusiastic Staff Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our NoSQL data pipeline services.

This is a full-time position based out of Fivetran's Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.

• Java
• NoSQL Databases (MongoDB, Amazon DynamoDB, Azure Cosmos DB, Elasticsearch, Firebase)
• Relational Databases (Db2 z/OS, CockroachDB)
• GCP, Azure, AWS
• Bazel, Github
• Claude Code, ChatGPT Codex

• →Write and deliver code reliably, along with automated tests (unit and integration).
• →Optimize critical parts of the code.
• →Lead team projects. Identify risks and break down projects into tasks for one or more engineers with effort estimates.
• →Drive innovation by experimenting with new technologies and problem solving approaches.
• →Independently create technical designs for major features while actively seeking feedback.
• →Write common components to be used within the team or department.
• →Mentor engineers on improving all aspects of their code, according to established coding practices.
• →Resolve customer issues in collaboration with customer support.
• →Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring.
• →Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations.

• Expert in Java development
• Experience developing reliable software with high-volume data management under strict SLAs
• Experience working with popular cloud platforms (e.g. AWS, GCP, Azure)
• Expert in database internal architecture (e.g. you can explain how a database internally responds to particular events and requests)
• Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB)
• Knowledge of and appreciation for clean code practices
• Leverages and keeps up with the frontier of agentic AI development

• Experience working with MongoDB and/or Amazon DynamoDB change data capture
• Experience developing data integration tools (ETL or ELT)
• Experience identifying and optimizing performance bottlenecks in distributed systems

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