Process
I had a chat with a recruiter, and a phone interview was scheduled.
The phone interview consists of two 45-minute technical interviews: Python/SQL. Other reviews pretty much capture the questions you should prepare.
Interviewers were nice, and the overall experience was good. However, you will never hear back from the recruiter if you are not moving forward.
I heard that some recruiters do this to save themselves a few minutes, but I expected Facebook would be different. If you don't hear back after a few weeks and a few emails, stop wasting your time.
Questions
Typical Algorithm/Data Structure Problems and SQL Joins/Functions
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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
- 2.0Don't trust leadershipData Engineer • Current EmployeeJanuary 17, 2024Pros: 1. Food 2. Good office 3. Lots of work if you enjoy doing work. 4. Self Automation: The company encourages you to find your own projects and then drive those projects yourself. This is expected starting from the junior ICs, which prepares people for tough challenges and to acquire new skills. 5. Learn and do the right thing: A good amount of people are very talented in the company, mostly people before 2020. If you are lucky to work with them, then learn from them and try to always find what is the best solution for the business.Cons: 1. There is a lot of bullying. 2. People will throw you under the bus. 3. At the end of the day, it is just you fighting for yourself. 4. You don't get the reward/acknowledgement for your work.
- 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.
- 4.0Fair Challenge, Friendly InterviewData Engineer • Current EmployeeJanuary 21, 2021Pros: Friendly interviewer and questions are medium level.Cons: Time limit constraint. Need to complete 5 SQL and 5 Python questions in 1 hour.
Meta Interview Questions
