Full-time
Localization Data Engineer: Build Global Data Pipelines
Posted by Lyft • Toronto, ON, Canada
About the Role
A leading ride-sharing company in Toronto is seeking a Data Engineer to help develop robust data infrastructure and scalable data pipelines. You will work closely with talented colleagues from various domains to support Lyft's analytics needs. The role demands a strong background in data engineering, scripting, and experience with tools like Hadoop and Airflow. The expected base pay ranges from CAD $108,000 to CAD $135,000, depending on qualifications and experience. The position operates on a hybrid schedule, requiring in-office work at least 3 days a week.
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