Senior Data Engineer
Toronto, Downtown
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type Permanent - Full Time
Read the full posting
What you’ll work on
Full postingDesign and deliver scalable data solutions that support business decisions
Take ownership of key components of the data platform
Build reliable, high-quality data pipelines with clean, maintainable code
Contribute to architectural decisions and engineering standards
Mentor other engineers and share knowledge
From the employer’s posting
design and deliver scalable data solutions that power decision-making across the organization
take ownership of key components of the data platform
build reliable, high-quality data pipelines
contribute to architectural decisions
support the growth of other engineers through mentorship and knowledge sharing
What you’ll bring
All qualificationsCore 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
- Own work end-to-end, from design through deployment and monitoring
Qualification wording
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
Tools in this posting
- Python
- SQL
- AWS
- Azure
- GCP
- Snowflake
- Airflow
Source — Tool mentions in context
Essential Experience - Solid Python experience in a data engineering environment - Advanced SQL skills and hands-on experience with Snowflake
- 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
- 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
- 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
Posting record
Report an errorOpen 4 monthsWe first saw this posting 142 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 9, 2026 · 142 days ago
- Recorded sightings
- 57
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on confluence.pinpointhq.com. The employer’s form will show what is required.
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Job description
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.
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
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.
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.
If you believe that this job posting is noncompliant, please email us at recruitment@confluence.com.
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.
Employment type
Permanent - Full Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Toronto, Downtown
We offer flexible working options for all employees. #LI-Hybrid Values
- Work authorization
If you believe that this job posting is noncompliant, please email us at recruitment@confluence.com. 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.
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