Senior Data Engineer
Hybrid Toronto Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Confluence Technologies. Toronto · full-time · no salary stated · we estimate CA$120,063–CA$155,138.
Estimated pay
Confluence Technologies has not published a salary for this role. The figure below is our estimate, not theirs.
CA$120,063 – CA$155,138
What the middle half of senior data engineering roles in Toronto paid, among postings that did state a salary.
Worked out from 36 postings that stated pay, median CA$141,500. Last updated Oct 23, 2026.
RoleData Engineering
SenioritySenior
LocationToronto
WorkplaceHybrid
EmploymentFull-time
PostedJun 8, 2026 · 4mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build dependable, high-quality data pipelines and own key parts of the data platform
- Shape data architecture and deliver scalable solutions that support organizational decisions
- Take engineering work from initial design through deployment and monitoring
- Write maintainable code to solve complex data problems, while mentoring other engineers
What you bring
- Strong Python skills gained in a data engineering setting
- Advanced SQL ability and practical experience using Snowflake
- Experience designing and operating large-scale ETL pipelines in production
- Exposure to AWS, Azure or another listed cloud platform
Who this fits
This developer-focused senior role suits someone who enjoys hands-on data engineering, architectural input and mentoring. You must be able to commute within two hours or eighty miles of Pittsburgh, Boston, Toronto or Montreal.
From the employer
Location - Pittsburgh, Boston, Toronto or Montreal Why Confluence?
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence. We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.
You’ll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable code.
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence. We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.
You’ll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable code.
Why Join Us?
- Work on meaningful data challenges that have real business impact
- Collaborate with a supportive and knowledgeable team
- Opportunity to influence architecture and engineering standards
- Grow your leadership skills through mentoring and project ownership
Essential Experience
- Solid Python experience in a data engineering environment
- Advanced SQL skills and hands-on experience with Snowflake
- Experience designing and running production-grade ETL pipelines at scale
- Exposure to cloud platforms such as AWS, Azure, or GCP
- Ability to take ownership of work end-to-end, from design through to deployment and monitoring
Nice to Have
- Experience working with financial or regulated data environments
- Familiarity with orchestration tools such as Airflow or AWS Step Functions
- Exposure to streaming or near real-time data pipelines
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