Senior Data Engineer

Confluence Technologies

β€’ $110K β€” $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Solid Python experience in a data engineering context
  • Advanced SQL proficiency with Snowflake experience
  • Experience designing and managing production-grade ETL pipelines
  • Familiarity with cloud platforms like AWS, Azure, or GCP
  • Ownership of projects from design to deployment
  • Experience in financial or regulated data environments
  • Knowledge of orchestration tools like Airflow or AWS Step Functions

Responsibilities

  • Design and implement scalable data solutions
  • Build and maintain reliable data pipelines
  • Collaborate cross-functionally to solve data challenges
  • Contribute to architectural decisions for the data platform
  • Mentor junior engineers and facilitate knowledge sharing
  • Take ownership of end-to-end workflows
  • Address complex data challenges through clean code

Benefits

  • Generous Time Off packages including half days for public holidays
  • Global Career Development opportunities
  • Engagement in social events
  • Referral Bonus scheme up to $3,000 per referral
  • Flexible working options for all employees
Full Job Description
Senior Data Engineer

Department: Development - Software Development

Employment Type: Permanent - Full Time

Location: Montreal, Canada

Reporting To: Paul Tartarian

Description

Location - Pittsburgh, Boston, Toronto or Montreal

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:

πŸ•š Generous Time Off packages including additional half days with each public holiday in your location.

🌎 Global Career Development opportunities

🎊 Social Events

πŸ’΅ 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

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