Process
The initial interview was conducted on the CoderPad platform and included SQL and Python programming questions. The SQL questions were medium difficulty, while the Python questions were easy. The interviewer was courteous, and the overall experience was positive.
Was this helpful?
Interview Statistics
The following metrics were computed from 347 interview experiences for the Meta Data Engineer role in United States.
Success Rate
15%
Pass Rate
Meta's interview process for their Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive63%
Neutral24%
Negative13%
Candidates reported having very good feelings for Meta's Data Engineer interview process in United States.
Meta Work Experiences
1.0
High pressure, high performance
Data Engineer • Current Employee
London, England, United Kingdom
October 27, 2024
Pros: Good benefits, salary, and hybrid work.
Cons: Very high pressure, micromanaging, constant push to be productive every second. (You're running this test; during the five minutes that it runs, switch context and do something else. Don't wait on it.)
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.
2.0
Leadership retaliations are common
Data Engineer • Former Employee
Menlo Park, California, United States
August 8, 2025
Pros: - Strong ICs across many teams
- Compensation and benefits
- Opportunities to work on large-scale problems
Cons: Management quality varies drastically between teams; your experience depends heavily on your direct manager.
There is limited recourse when dealing with toxic management.
Performance evaluation processes can be inconsistent and are subject to retaliation if you challenge the status quo.
The company culture of "feedback" can sometimes enable nitpicking and micromanagement, setting up employees to fail to simply meet the quota.
- 1.0High pressure, high performanceData Engineer • Current EmployeeLondon, England, United KingdomOctober 27, 2024Pros: Good benefits, salary, and hybrid work.Cons: Very high pressure, micromanaging, constant push to be productive every second. (You're running this test; during the five minutes that it runs, switch context and do something else. Don't wait on it.)
- 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.
- 2.0Leadership retaliations are commonData Engineer • Former EmployeeMenlo Park, California, United StatesAugust 8, 2025Pros: - Strong ICs across many teams - Compensation and benefits - Opportunities to work on large-scale problemsCons: Management quality varies drastically between teams; your experience depends heavily on your direct manager. There is limited recourse when dealing with toxic management. Performance evaluation processes can be inconsistent and are subject to retaliation if you challenge the status quo. The company culture of "feedback" can sometimes enable nitpicking and micromanagement, setting up employees to fail to simply meet the quota.
Meta Interview Questions
Explore Interview QuestionsTaro 75Google Interview QuestionsMeta Interview QuestionsAmazon Interview QuestionsApple Interview QuestionsNetflix Interview Questions
Explore Interview ExperiencesOpenAI Interview ExperiencesAnthropic Interview ExperiencesPerplexity Interview ExperiencesWindsurf Interview ExperiencesMistral AI Interview Experiences
