Process
Had a phone interview (5 SQL / 5 Python). Questions were the same as those found on Glassdoor, but edge cases proved difficult to pass. A good time allocation strategy is needed. The interviewer and recruiter were extremely helpful and nice.
Questions
Python:
- Count "char" in the string.
- Replace "None" in an array.
Codes are simple, but passing edge cases is difficult.
SQL:
Several % calculation questions.
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Interview Statistics
The following metrics were computed from 32 interview experiences for the Meta Data Engineer role in New York, New York.
Success Rate
28%
Pass Rate
Meta's interview process for their Data Engineer roles in New York, New York is very selective, failing most engineers who go through it.
Experience Rating
Positive75%
Neutral13%
Negative13%
Candidates reported having very good feelings for Meta's Data Engineer interview process in New York, New York.
Meta Work Experiences
4.0
Good Benefits, Fast Pace
Data Engineer • Current Employee
New York, New York, United States
September 8, 2020
Pros: Great location and benefits for employers.
Cons: moves too fast, so the product quality is not that high.
4.0
Enjoyable Work, Long Hours
Data Engineer • Current Employee
New York, New York, United States
June 7, 2022
Pros: Interesting product to work on. People are nice.
Cons: Long hours and some of the technical work is repetitive.
3.0
Quickly becoming a nightmare
Data Engineer • Current Employee
New York, New York, United States
February 21, 2025
Pros: The stocks are doing well, so the money is good.
Cons: They keep cutting benefits every day. Also, it's pretty much a Squid Game here. No one can survive eventually, except the AI.
- 4.0Good Benefits, Fast PaceData Engineer • Current EmployeeNew York, New York, United StatesSeptember 8, 2020Pros: Great location and benefits for employers.Cons: moves too fast, so the product quality is not that high.
- 4.0Enjoyable Work, Long HoursData Engineer • Current EmployeeNew York, New York, United StatesJune 7, 2022Pros: Interesting product to work on. People are nice.Cons: Long hours and some of the technical work is repetitive.
- 3.0Quickly becoming a nightmareData Engineer • Current EmployeeNew York, New York, United StatesFebruary 21, 2025Pros: The stocks are doing well, so the money is good.Cons: They keep cutting benefits every day. Also, it's pretty much a Squid Game here. No one can survive eventually, except the AI.
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