Senior Data Engineer
Confluence · Montreal, Canada · Hybrid
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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.
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
A pplicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices.
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