Software Engineer II, Databases

Fivetran
Toronto, Ontario, CanadaPosted 11 March 2026

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 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, hybrid position based out of Fivetran's Toronto, ON 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 NoSQL databases: MongoDB, Amazon DynamoDB, Azure Cosmos DB, Amazon DocumentDB, Firebase, Elasticsearch Relational databases: IBM Db2, CockroachDB 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) Optional Bonus Skills​ Experience working with change data capture for MongoDB, Amazon DynamoDB and/or IBM Db2 Experience developing data integration tools (ETL or ELT) Experience identifying and optimizing performance bottlenecks in distributed systems This role is a backfill for an existing position and offers an opportunity to step into a well-established team and make an immediate impact. #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $113,702 $136,448 CAD Perks and Benefits 100% employer-paid medical insurance * Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers ... (truncated, view full listing at source)
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