From the company’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With the company, 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. the company 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. the company 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 the company and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. the company + dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We’re seeking an enthusiastic 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 the company's Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.

Technologies

You’ll Use ~ Java ~ MongoDB, Amazon DynamoDB, Azure Cosmos DB ~ AWS, GCP, Azure ~ Write and deliver code reliably, along with automated tests (unit and integration) ~ Break down project work into tasks with estimates ~ Collaborate daily with team members to develop recent features and improvements while minimizing technical debt ~ 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 Expertise in Java development ~ Experience developing reliable software with high-volume data management under strict SLAs ~ AWS, GCP, Azure) ~ Experience using AI coding agents for development ~ Knowledge of popular NoSQL databases (e.g.

📌 Software Engineer — Data Platform (Remote) (Toronto)
🏢 United States Digital Space
📍 Toronto