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Data Engineer Interview Experience - Toronto, Canada

July 16, 2026
Positive ExperienceGot Offer

Process

I applied online. The process took 3 weeks.

It was a pretty standard FAANG interview process. It started with an initial call with the recruiter. The recruiter was professional and laid out the expectations of the interview process and discussed the compensation band. The first round was an initial technical screen: 90 minutes, LeetCode + SQL (Medium).

After the initial technical screen, there was the onsite that had four rounds:

  • Technical screen
  • Data Modelling
  • Systems Design
  • Hiring Manager

The onsite technical round was harder than the screen technical round. I would say it tended to be closer to LeetCode Hard than LeetCode Medium. Overall, the process seemed to be very fair. The hiring manager was great: they shared insights about the scope of the role and got me super excited for the opportunity. The recruiting team was very flexible in getting multiple rounds scheduled, and the experience was frictionless.

Questions

The hiring process was standard. The technical round included DSA and SQL problems that were very similar to what you find on LeetCode but with some custom twists. Data Modelling was to model a use case to solve for a certain query pattern. Systems design tended towards designing a data platform. The hiring manager round was more of a behavioral and experience discussion, along with Lyft values.

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Interview Statistics

The following metrics were computed from 4 interview experiences for the Lyft Data Engineer role in Toronto, Ontario.

Success Rate

0%
Pass Rate

Lyft's interview process for their Data Engineer roles in Toronto, Ontario is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive75%
Neutral0%
Negative25%

Candidates reported having very good feelings for Lyft's Data Engineer interview process in Toronto, Ontario.

Lyft Work Experiences