Process
Applied online, most interviews have three rounds.
One with a recruiter to go over the process and answer questions.
One for coding with SQL and Python.
One onsite with four rounds, mixed of coding, product sense, and design.
Questions
General SQL questions, no trick part.
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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
3.0
Fast-paced, constantly changing
Data Engineer • Current Employee
June 29, 2022
Pros: - You get to learn a lot.
- Very fast pace.
- Get to collaborate with industry leaders.
Cons: - Constant re-orgs (by design to change things up to give off the perception that things aren't stagnant)
- Poor WLB at times
- Re-orgs can cause your team dynamic to change really quickly
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.
5.0
Excellent Work Culture
Data Engineer • Current Employee
Menlo Park, California, United States
September 10, 2022
Pros: Excellent Work Culture.
Very supportive colleagues.
Cons: Cannot think of anything at this point.
- 3.0Fast-paced, constantly changingData Engineer • Current EmployeeJune 29, 2022Pros: - You get to learn a lot. - Very fast pace. - Get to collaborate with industry leaders.Cons: - Constant re-orgs (by design to change things up to give off the perception that things aren't stagnant) - Poor WLB at times - Re-orgs can cause your team dynamic to change really quickly
- 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.
- 5.0Excellent Work CultureData Engineer • Current EmployeeMenlo Park, California, United StatesSeptember 10, 2022Pros: Excellent Work Culture. Very supportive colleagues.Cons: Cannot think of anything at this point.
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