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Retail Analytics
Senior Data Engineer
Toronto, ONfull-time$140K - $170K CADPosted 2025-01-16
About This Role
Build and scale data infrastructure processing billions of retail transactions daily for insights and analytics.
What You'll Do
- Design and implement data pipelines at scale
- Build and maintain data warehouse architecture
- Optimize query performance and data processing costs
- Collaborate with data scientists on ML feature pipelines
- Establish data quality and monitoring practices
What We're Looking For
- 5+ years of data engineering experience
- Expert in SQL and Python
- Experience with modern data stack (Snowflake, dbt, Airflow)
- Strong background in distributed systems
- Experience with cloud platforms (AWS preferred)
What's In It For You
Fully remote position
Competitive compensation
Equity participation
Health and dental benefits
Flexible PTO policy
Hiring Process
1
Recruiter Screen
30-minute introduction
2
Technical Interview
SQL and data modeling assessment
3
System Design
Data architecture discussion
4
Team Interviews
Meet the data platform team
About Retail Analytics
A Toronto-based analytics company helping retailers understand their customers. Serving major Canadian and US brands.
Toronto, ON
remote • full-time
Skills & Technologies
Data EngineeringSparkAWSAnalyticsRemote
Interested?
Apply now and we'll be in touch within 48 hours.