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Overview

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Data Engineer, LUS

role at

Lyft . Data powers all the decisions at Lyft. We build data transport, collection, and storage to support our Lyft Urban Solutions business and provide timely, accurate data for internal and external customers. The team collaborates with product managers, external stakeholders, GMs, engineers, and data scientists to translate requirements into scalable data solutions for our global micromobility platform. Responsibilities

Owner of core company data pipelines, responsible for scaling up data processing flow to meet rapid data growth at Lyft Continuously evolve data models and schemas based on business and engineering requirements Implement and maintain systems to monitor and enhance data quality and consistency Develop tools that support self-service management of data pipelines (ETL) and optimize data processing performance Write well-crafted, well-tested, readable, maintainable code that prioritizes scalability and cost efficiency Conduct code reviews to ensure code quality standards and facilitate knowledge sharing Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines Collaborate with internal and external partners to remove blockers, provide support, and achieve results Experience

3+ years of relevant professional experience in data engineering or a related field Solid expertise in SQL and experience with Trino or Spark/PySpark Experience building and optimizing complex data models and pipelines with a strong understanding of ETL processes Expertise in data modeling and ETL, with experience developing and optimizing complex data models and pipelines Hands-on experience with workflow management tools (e.g., Airflow or similar)



Proficiency in a scripting language like Python or Bash Comfortable working directly with cross-functional teams (data analytics, data science, engineering) to align solutions with business goals Benefits

Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building advantages Child care and pet benefits Access to a Lyft funded Health Care Savings Account RRSP plan to help save for your future Flexible paid time off policy (salaried) and paid time off for hourly team members 18 weeks of paid time off for recent parents (biological, adoptive, and foster parents eligible) Subsidized commuter benefits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft provides equal employment opportunities without discrimination and maintains a healthy and safe workplace. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request. Lyft highly values in-office collaboration and culture. This role is in-office on a hybrid schedule — Team Members are expected to work in the office at least 3 days per week (Mondays, Wednesdays, and Thursdays). Hybrid roles may offer up to 4 weeks of work-from-anywhere flexibility per year. Compensation

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000. Salary ranges are dependent on qualifications, experience, geographic location, and are not inclusive of potential equity, bonus, or benefits. Your recruiter can share location-specific details during the hiring process. Seniority level

Mid-Senior level Employment type

Full-time Job function

Information Technology

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Apply on Kit Job: kitjob.ca/job/2g94r8

📌 Data Engineer, LUS (Toronto)
🏢 Lyft
📍 Toronto