Style Analytics · Toronto, Canada ·
Senior Data Engineer at Confluence (investment-management data technology) who designs, builds, and owns scalable data pipelines and platform components hands-on, primarily with Python, advanced SQL, and Snowflake on cloud (AWS/Azure/GCP), while contributing to architecture and mentoring other engineers. On-site near Pittsburgh, Boston, Toronto, or Montreal.
pplicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices.
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.
Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices.
We offer flexible working options for all employees.
Face reality with honesty, courage and accountability
Deal creatively with challenges and envision what the world could be
Build good habits into reflexes which become a part of our life
Committed to the success of others
If you believe that this job posting is noncompliant, please email us at [email protected].
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.
Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.
As a leading global technology solutions provider to the investment management industry, Confluence helps clients solve complex investment data challenges across the front, middle and back office. Headquartered in Pittsburgh, PA, Confluence services over 1000 clients in 40 countries, with locations across Europe, North America, South Africa, Australia and Asia.