Data Engineer
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What this role actually needs.
Data Engineer at Lyft in Toronto. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Owner of the core data pipelines in mapping, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
- Develop strong subject matter expertise in the systems you manage, setting and managing SLAs for both data pipeline and datasets
- Continuously evolve data models and schemas to meet business and engineering requirements
- Develop tools that support self-service management of data pipelines (ETL), schema evolution, and perform SQL tuning to optimize data processing performance
- Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
- Conduct code reviews to uphold code quality standards and facilitate knowledge sharing
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
- Develop tools that support self-service management of data pipelines (ETL), schema evolution, and perform SQL tuning to optimize data processing performance
- Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
- Conduct code reviews to uphold code quality standards and facilitate knowledge sharing
- Participate in on-call rotations to maintain high availability and reliability of data workflows
- Unblock, support and communicate with internal & external partners to achieve results
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match to help save for your future
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to data engineer is a high-signal on-site role in toronto, and it is most realistic for canada residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use canada residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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