Software Engineer II

United States Digital Space LLC; Toronto; Hybrid; CAD 90,000 - 150,000; Full time

Job summary

dbt Labs in Toronto is seeking an enthusiastic Software Engineer to join our data platform team. You will help drive performance improvements and reliability for our NoSQL pipelines, working in a hybrid model from the Toronto office.

The role emphasizes Java development, cloud platform experience (AWS, GCP, Azure), and knowledge of MongoDB/DynamoDB. You will write tests, review code, and contribute to the lifecycle from design to deployment.

Qualifications

• Expertise in Java development.
• Experience with high-volume data management under strict SLAs.
• Experience using AWS, GCP and Azure cloud platforms.
• Experience using AI coding agents for development.
• Knowledge of MongoDB and DynamoDB.
• Commitment to clean code practices.
• Ability to troubleshoot problematic code and identify root causes.

Responsibilities

• Write and deliver code reliably with automated tests (unit and integration).
• Optimize code for performance.
• Break down project work into tasks with estimates.
• Participate in code reviews and give/receive feedback.
• Collaborate daily with teammates to develop new features while minimizing technical debt.
• Resolve customer issues in collaboration with support.
• Engage in full software development lifecycle from requirements to monitoring.
• Leverage AI coding agents for code generation in use cases.

Skills

Java development

High-volume data management

Cloud platforms (AWS, GCP, Azure)

AI coding agents

NoSQL databases (MongoDB, DynamoDB)

Clean code practices

Troubleshooting root causes

Tools

Bazel

Docker

Kubernetes

GitHub

MongoDB

Amazon DynamoDB

Azure Cosmos DB

Job description

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.

About Us

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.

About The Role

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

• Bazel, Docker, Kubernetes, Github

What You’ll Do

• Write and deliver code reliably, along with automated tests (unit and integration)

• Optimize code to make it more performant

• Break down project work into tasks with estimates

• Give and receive feedback through code reviews

• Collaborate daily with team members to develop new 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

Skills We’re Looking For

• Expertise 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)

• Experience using AI coding agents for development

• Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB)

• Knowledge of and appreciation for clean code practices

• Ability to troubleshoot problematic code and identify root cause(s)