Senior Data Engineer in Toronto

Senior Data Engineer in Toronto

Toronto Full-Time 90000 - 110000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and deliver scalable data solutions that drive decision-making across the organization.
  • Company: Join Confluence, a leader in investment data innovation with a global presence.
  • Benefits: Generous time off, global career development, social events, and referral bonuses.
  • Other info: Flexible working options and a supportive team culture await you!
  • Why this job: Tackle meaningful data challenges and influence architecture while growing your leadership skills.
  • Qualifications: Solid Python and SQL experience, plus familiarity with cloud platforms and ETL pipelines.

The predicted salary is between 90000 - 110000 $ per year.

Department: Development - Software Development

Location: Toronto, Pittsburgh, Boston, 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.

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?

  • Generous Time Off packages including additional half days with each public holiday in your location.
  • Global Career Development opportunities
  • Social Events
  • Referral Bonus scheme - Up to $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

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.

Senior Data Engineer in Toronto employer: Confluence

At Confluence, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture in the heart of Toronto. As a Senior Data Engineer, you will not only have the opportunity to design scalable data solutions but also mentor fellow engineers, ensuring continuous professional growth. With access to modern tools and a commitment to knowledge sharing, Confluence offers a dynamic environment where your contributions directly impact decision-making and the success of our teams.

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Contact Details:

Confluence Recruitment Team

We think you need these skills to ace Senior Data Engineer in Toronto

Python
SQL
Snowflake
ETL Pipelines
AWS
Azure
GCP