Process
To master advanced SQL and Python for technical interviews beyond the standard Glassdoor level, focus on high-complexity problems that require multi-step logic, data cleaning, and algorithmic efficiency. Focus on logic building rather than the number of questions while solving.
Questions
Standard PY and SQ questions.
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Interview Statistics
The following metrics were computed from 428 interview experiences for the Meta Data Engineer role.
Success Rate
13%
Pass Rate
Meta's interview process for their Data Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive64%
Neutral23%
Negative12%
Candidates reported having very good feelings for Meta's Data Engineer interview process.
Meta Work Experiences
5.0
Short experience working in Meta
Data Engineer • Former Employee
Menlo Park, California, United States
October 9, 2023
Pros: Colleagues are always friendly, professional, and supportive in solving technical issues. The infrastructure is well-built within the company, with little effort needed to become familiar with the tech stacks.
Cons: Volatile environment in terms of layoffs.
5.0
Excellent Culture, Growth, Pay
Data Engineer • Current Employee
May 2, 2024
Pros: - Good remuneration
- Great company culture
- Growth opportunities
Cons: High cost of living locations
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.)
- 5.0Short experience working in MetaData Engineer • Former EmployeeMenlo Park, California, United StatesOctober 9, 2023Pros: Colleagues are always friendly, professional, and supportive in solving technical issues. The infrastructure is well-built within the company, with little effort needed to become familiar with the tech stacks.Cons: Volatile environment in terms of layoffs.
- 5.0Excellent Culture, Growth, PayData Engineer • Current EmployeeMay 2, 2024Pros: - Good remuneration - Great company culture - Growth opportunitiesCons: High cost of living locations
- 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.)
Meta Interview Questions
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