Process
HR call, phone screen, and VO, almost 4 loops. Signed NDA, so I can't share details, but this role mostly requests that you have a great foundation in SQL and Python. They are not requiring you to know fancy algorithms, but they want you to have an extreme understanding of data structures and how you can use SQL to calculate metrics.
Questions
LC Medium questions, but I can't use window functions to solve them.
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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
Meta's interview process for their Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Data Engineer interview process in United States.
Meta Work Experiences
- 5.0No Bad Things To SayData Engineer • Current EmployeeApril 11, 2022Pros: Great place to work, in my opinion.Cons: No bad things to say.
- 3.0Not so goodData Engineer • Current EmployeeLondon, England, United KingdomFebruary 12, 2023Pros: Employee perks, but even that is reduced.Cons: Over-communication: A lot of communication gaps.
- 3.0Great experience working on pipelines at scaleData Engineer • Former EmployeeMenlo Park, California, United StatesApril 7, 2025Pros: Got to work on large-scale data pipelines used by real products. Amazing engineering culture and great exposure to internal tools like DataSwarm and Unidash. I learned a lot about data reliability, monitoring, and handling critical production systems. Team collaboration was strong, and documentation was surprisingly solid for a big tech company.Cons: Some decisions take time due to process and review loops. Limited visibility into long-term projects as a contractor.
Meta Interview Questions
