At a Glance
- Tasks: Design and deliver scalable data solutions that drive decision-making across the organization.
- Company: Join Confluence, a global leader in investment data innovation.
- Benefits: Generous time off, career development, social events, and referral bonuses.
- Other info: Flexible working options and a supportive team culture.
- Why this job: Tackle meaningful data challenges and influence engineering standards while mentoring others.
- Qualifications: Solid Python and SQL skills, experience with ETL pipelines, and cloud platforms.
The predicted salary is between 90000 - 110000 $ per year.
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.
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.
- 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?
- 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
- 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.
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
Senior Data Engineer employer: Confluence Technologies, Inc.
At Confluence, we pride ourselves on fostering a dynamic work environment that champions innovation and collaboration. Located in vibrant cities like Toronto, our employees enjoy generous time off packages, global career development opportunities, and a culture that values integrity and service. Join us to not only advance your career but also to make a meaningful impact in the financial services industry.
Contact Details:
Confluence Technologies, Inc. Recruitment Team
