Quick Summary
Experience working in large distributed teams Bonus Skills Working experience with database internals such as storage format, compression techniques, encryption, disaster recovery,
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.
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.
About the Role
~1 min readFivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Software Engineer I enthusiastic to join our fast-growing company.
As a part of the Oracle Connector Team, you will be responsible for helping build new features of our data pipeline service, improving our software architecture, and maintaining the reliable operation of the service. We're looking for someone who wants to learn and apply the key values that make our product great, dive deep into complex investigations into data replication, and build a world-class ELT solution for Oracle systems.
This is a contract 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.
Java, C
Oracle
SQL
Docker/Kubernetes
Responsibilities
~1 min read- →Dive deep into data replication debugging, analyzing existing code that is in use by hundreds of customers today. Some clients are operating the largest Oracle clusters in the world.
- →Analyze new features that are introduced by Oracle in recent releases and determine how to develop supporting features.
- →Contribute to the efforts to the maintenance and improvement of existing connectors; call for improvement in all areas of Fivetran's codebase and infrastructure.
- →Be a part of the process to move a high performance client side service to the cloud and operate at scale.
- →Develop software designs and technical roadmap for the team.
- Coding:
- 1+ years programming in Java or C languages
- Writes well-structured and performant code
- Be able to dive into code that has been previously written and suggest improvements
- Design:
- Understand and can explain how to build high performance systems and processes
- Have an analytical mindset that helps you identify design flaws in existing systems and come up with improvements
- System:
- 1+ years of of working in a cloud environment utilizing AWS, GCP, Docker/Kubernetes, CircleCI, or similar technologies
- 1+ years of infrastructure as code on Docker/Kubernetes, AWS CloudFormation, Terraform, Google Cloud Deployment Manager, or equivalent.
- Project management:
- Able to define project requirements. Proficient at designing software and infrastructure
- Experience understanding customer requirements and/or problems and breaking them down into engineering tasks
- Collaboration:
- Experience working in large distributed teams
Nice to Have
~1 min read- Working experience with database internals such as storage format, compression techniques, encryption, disaster recovery, transaction management, or high availability.
- Working experience in designing and developing file, event, application, or database connectors.
- Working experience with advanced Java development such as multi-threads, multi-tasking, different asynchronous programming mechanisms, garbage collector tuning, etc.
- Working experience setting up, maintaining and tuning production Oracle RDBMS.
#LI-HYBRID #LI-VA1
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.
What We Offer
~2 min readLocation & Eligibility
About this job
- Pay per year
- CA$88,821–CA$106,590 a year
- Who can apply
- Canada
- Posted
- Today
Listing Details
- Posted
- October 23, 2026
- First seen
- October 23, 2026
- Last seen
- October 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- October 23, 2026
Signal breakdown
Fivetran redefined the data pipeline. Shaped by the needs of analysts, our fully managed pipelines enable data-backed decisions company-wide by delivering ready-to-query data into your cloud warehouse.
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