Retail AnalyticsData · Posted January 16, 2025
Senior Data Engineer
Build and scale data infrastructure processing billions of retail transactions daily for insights and analytics.
- Compensation
- $140K - $170K CAD
- Location
- Toronto, ON
- Employment
- Full-time
- Arrangement
- Remote
What you'll own
- 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)
Bonus points
Not required — but they'll help you stand out.
- Experience with real-time streaming (Kafka, Kinesis)
- Background in retail or e-commerce data
- Experience with data mesh architectures
What's on offer
- Fully remote position
- Competitive compensation
- Equity participation
- Health and dental benefits
- Flexible PTO policy
The interview process
4 steps- 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
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