Senior Data Engineer
Hybrid Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Confluence Technologies. Full-time.
Pay not stated Data Engineer salary
RoleData Engineering
SenioritySenior
WorkplaceHybrid
EmploymentFull-time
PostedMay 28, 2026 · 4mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build dependable data pipelines and maintain key parts of the platform that supports organizational decisions
- Shape technical architecture and engineering practices while working with teams across the business
- Write clean, maintainable code to solve difficult data problems in a hands-on developer role
- Guide other engineers by sharing knowledge and mentoring them
What you bring
- You have strong Python experience in data engineering and advanced SQL skills, including practical Snowflake work
- You have designed and operated large-scale ETL pipelines in production
- You have used a cloud platform such as AWS, Azure or another listed option
- You can carry work from initial design through release and ongoing monitoring
Who this fits
This senior, developer-focused role suits someone who wants hands-on ownership alongside architectural input and mentoring. Applicants must live within two hours or eighty miles of a listed office; U.S. applicants must be citizens or Green Card holders.
From the employer
Location - Pittsburgh, Boston, Toronto or Montreal (Remote north East US considered) 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.
If applying in the US we will only consider applications from those who have permanent residency as a US citizen or a Green Card holder.
Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices. Essential Experience
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
If applying in the US we will only consider applications from those who have permanent residency as a US citizen or a Green Card holder.
Applicants 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
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