Job description

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. More about the role & team 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. What skills and experience do I need to succeed? 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 What do we offer? Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes: 🕚 Generous Time Off packages including additional half days with each public holiday in your location. 🌎 Global Career Development opportunities 🎊 Social Events 💵 Referral Bonus scheme - Upto $3,000 per successful referral 🚀 Plus many more! More about the Location We offer flexible working options for all employees. #LI-Hybrid Values We look for people who align with our 4 values. Integrity Face reality with honesty, courage and accountability Imagination Deal creatively with challenges and envision what the world could be Discipline Build good habits into reflexes which become a part of our life Service Committed to the success of others If you would like to find out more about a Career at Confluence, please apply today. If you believe that this job posting is noncompliant, please email us at recruitment@confluence.com . AI Friendly Interview Process We recognise that AI tools are becoming a standard part of how many people work. Candidates are welcome to use AI throughout our interview process. If you choose to use AI during an interview or assessment, we may ask you to share your screen so that we can better understand your thinking, decision making and approach to using the technology. Our aim is to assess your skills, experience, judgement and problem solving abilities, including how you make use of modern tools in a professional setting. Pre-Employment Screening Disclaimer 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.

Requirements

Must-haves

Location - Pittsburgh, Boston, Toronto or Montreal (Remote north East US considered)
Why Confluence?
More about the role & team
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.
What skills and experience do I need to succeed?
Essential Experience

Nice-to-haves

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
What do we offer?
Generous Time Off packages including additional half days with each public holiday in your location.
Global Career Development opportunities
Social Events
Referral Bonus scheme - Upto $3,000 per successful referral
Plus many more!
More about the Location
We offer flexible working options for all employees.
We look for people who align with our 4 values.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: pinpoint
Effort: medium

Benefits

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