Process
First, it was a simple HR call to discuss how the process would be. Then there was a live coding interview with 4 SQL and 1 Python question, which was a very negative experience.
The time was very tight to solve all the SQL questions, specially because the last ones were very complex. The Python one was fine, but test cases included some very specific edge cases which were not clear in the problem statement.
The interviewer was not helpful at all, actually quite the contrary. Usually, while explaining my thoughts, he would break my line of thought, which caused me to lose a lot of time. I would not participate in the process again.
Questions
There were SQL questions based on the DoorDash data schema and a Python LeetCode medium problem.
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Interview Statistics
The following metrics were computed from 22 interview experiences for the DoorDash Data Engineer role.
Success Rate
DoorDash's interview process for their Data Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for DoorDash's Data Engineer interview process.
DoorDash Work Experiences
- 3.0Great colleagues and competitive compensationData Engineer • Current EmployeeNew York, NYAugust 28, 2026Pros: - Compensation is competitive. - Coworkers are often intelligent and motivated.Cons: There was politics across different functions. Ops had too strong of a voice.
- 5.0Great CompanyData Engineer • Current EmployeeSan Francisco, CADecember 1, 2025Pros: Great pay, decent WLB, and fun projects to work on.Cons: There were too many changes and a lack of promotions.
- 1.0Decent pay but terrible work-life balance and exploitationData Engineer • Current EmployeeSan Francisco, CAAugust 12, 2026Pros: Decent pay, OK colleagues, and moderate benefits.Cons: Work-life balance is a joke. You may get PTSD due to exploitation.
DoorDash Interview Questions
