Data Engineer applicants have rated the interview process at Meta with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 65% positive. To compare, the company-average is 56.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 35 days to get hired, when considering 364 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 31 days.
Common stages of the interview process at Meta as a Data Engineer according to 364 Glassdoor interviews include:
Phone interview: 41%
One on one interview: 20%
Skills test: 16%
Presentation: 9%
Group panel interview: 5%
Other: 3%
IQ intelligence test: 2%
Background check: 2%
Personality test: 2%
Drug test: 1%
Here are the most commonly searched roles for interview reports -
Wen through standard screening call then the TA. The TA was a much higher difficulty then the prep guide. Not so much the difficulty of the question from a technical perspective, but understanding what the question was actually asking for. Example would be a problem like bookstore checkout system, but the explanation of it was sort of vague and the interviewer didn't really help me clear it up.
Starts with a screen, followed by leetcode style SQL+Python questions, Full loop of SQL, Python, SQL plus Python and lastly behavioural round. Every round is also an architecture round in some sense.
Begins with an application review and recruiter screening, followed by a technical phone interview that assesses SQL, data modeling, data warehousing, ETL processes, and coding skills in languages such as Python or Java. Successful candidates then proceed to onsite or virtual interviews, which include multiple rounds covering coding, system design, data architecture, problem solving, and behavioral questions.
Interview questions [1]
Question 1
Tell us about yourself and why you want to work for us