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Meta Data Engineer Interview
Questions & Process

What 404 candidates said about the rounds, the
questions and how long the wait really is.

From 404 candidate reports · FREE TO READ

2.5Rounds average
41Day average
AverageTypical difficulty
64.1%Positive experience

Questions candidates reported

Quoted word for word from Meta interview reports.

Engineering accounts for 10,860 of 404 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.

How would you solve SQL problems related to real-world product data?

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Tell me about your previous experience as a data engineer.

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Formats, difficulty and experience

Across all 404 Meta interview reports.

Question formats

Technical37.8%
Coding30.4%
Behavioral19.7%
Other5.6%
System Design4.5%

Interview difficulty

Easy12.7%
Average55.9%
Difficult31.4%

Candidate experience

Neutral22.5%
Positive64.1%
Negative13.4%

Reports by job function

Engineering10,860
Operations1,308
Product1,188
Sales1,054
Other762
Marketing542

The interview process

Described in candidates’ own words.

In the first meeting, we talked about how my engineering work background and my technical certifications fit really well with the specific needs and objectives of your current team.Candidate-reported process
To get good in advanced SQL and Python for technical interviews beyond the typical Glassdoor level, work on high-complexity problems needing multi-step logic, data cleaning, and algorithmic efficiency. Focus on building logic more than just solving a lot of questions.Candidate-reported process
To master advanced SQL and Python for technical interviews beyond standard Glassdoor level, focus on very high-complexity problems that need multi-step logic, data cleaning, and algorithmic efficiency. Put more focus on logic building instead of number of questions while solving.Candidate-reported process
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