Hybrid Data Engineer: Mapping & Localization

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

Job summary

A leading transportation network company in Toronto is seeking a Data Engineer to enhance data infrastructure. You will develop scalable data pipelines and manage data quality. Ideal candidates have over 2 years of experience, strong knowledge of SQL and Spark, and a relevant Bachelor’s degree. This hybrid role requires in-office presence at least 3 days a week, offering a salary between $108,000 and $135,000 CAD based on experience.

Benefits

Extended health and dental coverage

Flexible paid time off

Subsidized commuter benefits

Qualifications

• 2+ years of relevant professional experience required.
• Experience with data quality tracking systems.
• Strong skills in a scripting language (Python, Ruby, Bash).

Responsibilities

• Own core data pipelines for mapping and processing.
• Evolve data model based on business needs.
• Implement quality control systems for data.

Skills

Spark

SQL

Python

Data modeling

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics

Tools

Hadoop

Airflow

AWS

Job description

A leading transportation network company in Toronto is seeking a Data Engineer to enhance data infrastructure. You will develop scalable data pipelines and manage data quality. Ideal candidates have over 2 years of experience, strong knowledge of SQL and Spark, and a relevant Bachelor’s degree. This hybrid role requires in-office presence at least 3 days a week, offering a salary between $108,000 and $135,000 CAD based on experience.