Process
First round: Phone interview - asked a bunch of Python and SQL related questions.
Second round: Online assessment - simple coding questions.
Third round: Met with a data engineer at Facebook - pipeline and related topics.
Questions
What is the priority of building a pipeline?
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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
5.0
Amazing work experience
Data Engineer • Current Employee
Los Angeles, California, United States
September 12, 2025
Pros: You can learn a lot and collaborate with more talented people.
Cons: Fast-paced daily activities keep you busy a lot sometimes.
4.0
Benefits Good, Culture Toxic
Data Engineer • Current Employee
Menlo Park, California, United States
October 30, 2022
Pros: Good medical insurance and overall benefits.
Cons: Somewhat toxic culture, high stress.
3.0
Good Pay, Poor Management
Data Engineer • Former Employee
Menlo Park, California, United States
December 5, 2022
Pros: Great pay, benefits, and undeserved intellectual cache.
Cons: Bloated management which doesn't manage anything.
- 5.0Amazing work experienceData Engineer • Current EmployeeLos Angeles, California, United StatesSeptember 12, 2025Pros: You can learn a lot and collaborate with more talented people.Cons: Fast-paced daily activities keep you busy a lot sometimes.
- 4.0Benefits Good, Culture ToxicData Engineer • Current EmployeeMenlo Park, California, United StatesOctober 30, 2022Pros: Good medical insurance and overall benefits.Cons: Somewhat toxic culture, high stress.
- 3.0Good Pay, Poor ManagementData Engineer • Former EmployeeMenlo Park, California, United StatesDecember 5, 2022Pros: Great pay, benefits, and undeserved intellectual cache.Cons: Bloated management which doesn't manage anything.
Meta Interview Questions
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