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 36 days to get hired, when considering 356 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 356 Glassdoor interviews include:
Phone interview: 41%
One on one interview: 20%
Skills test: 15%
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 -
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 number of questions while solving.
I applied online. I interviewed at Meta (New York, NY)
Interview
1st round phone screen Sql and python . 5 sql and 5 python. Need to do 3+ to pass.
Then if passed move to virtual onsite - 4 rounds. 3 full stack rounds and 1 ownership round
Interview questions [1]
Question 1
Sql employee database . Python leetcode but focused on dictionaries and list
During the initial meeting, we had a discussion about how my professional background in engineering and my technical certifications align perfectly with the specific requirements and goals of your current team.