Process
I went through a standard screening call, and then the technical assessment. The technical assessment was of a much higher difficulty than the prep guide. It was not so much the difficulty of the question from a technical perspective, but understanding what the question was actually asking for. An example would be a problem like a bookstore checkout system, but the explanation of it was sort of vague, and the interviewer didn't really help me clear it up.
Questions
Design a bookstore checkout system.
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Interview Statistics
The following metrics were computed from 428 interview experiences for the Meta Data Engineer role.
Success Rate
Meta's interview process for their Data Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Data Engineer interview process.
Meta Work Experiences
- 5.0Great Projects, Stressful EnvironmentData Engineer • Current EmployeeMenlo Park, California, United StatesSeptember 7, 2025Pros: Great projects, supportive team, learning curve.Cons: Constant layoff stress is there throughout, cutthroat competition, stack ranking.
- 5.0Amazing Food, Meeting ManiaData Engineer • Current EmployeeMenlo Park, California, United StatesOctober 13, 2015Pros: 4 months paid leave with newborns, work from home Wednesdays, unlimited high-quality food. I can always walk in the park on the roof if I need some fresh air. The food is consistently great.Cons: The only legitimate con I have about working here is meeting start times. Meetings go from 12:00-1:00, for example, with the following meeting starting at 1:00 promptly. This naturally leads to people starting meetings late. Also, I get withdrawals on the weekends when at home because the food here is so good. It causes me to eat out more on the weekends, and thus I don't actually save on my food bill.
- 5.0Good product, people, and managersData Engineer • Current EmployeeMenlo Park, California, United StatesMay 1, 2024Pros: Work-life balance, good product, good people, good managers, good benefits.Cons: privacy overheads, privacy review pressure, and privacy frictions everywhere.
Meta Interview Questions
