Data Engineer: Driver Insights & Routing

Lyft; Toronto; Hybrid; CAD 108,000 - 135,000; Full time

Job summary

A leading transportation service provider in Toronto is seeking a Data Engineer to develop and maintain robust data infrastructure. You will build scalable data pipelines and improve data models to support analytics needs. The ideal candidate has a Bachelor's degree in a relevant field and 3+ years in data engineering with strong skills in Spark, Python, and SQL. This position supports a hybrid work model with a flexible schedule, alongside comprehensive benefits and competitive salary.

Benefits

Health and dental coverage

Mental health benefits

Flexible paid time off policy

Subsidized commuter benefits

Qualifications

• 3+ years of experience in data engineering, ideally with large-scale distributed systems.
• Solid understanding of workflow orchestration and data warehousing.

Responsibilities

• Build and maintain reliable, scalable data pipelines supporting driver insights and trip routing.
• Improve data models and schema design to meet evolving engineering and business needs.
• Collaborate cross-functionally with product, engineering, and data science teams.

Skills

Spark

Python

SQL performance tuning

ETL processes

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field

Tools

AWS

Hadoop/S3

Airflow

Job description

A leading transportation service provider in Toronto is seeking a Data Engineer to develop and maintain robust data infrastructure. You will build scalable data pipelines and improve data models to support analytics needs. The ideal candidate has a Bachelor's degree in a relevant field and 3+ years in data engineering with strong skills in Spark, Python, and SQL. This position supports a hybrid work model with a flexible schedule, alongside comprehensive benefits and competitive salary.