Data Engineering 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 86% positive. To compare, the company-average is 56.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineering roles take an average of 30 days to get hired, when considering 7 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 Engineering according to 7 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 22%
Presentation: 22%
Skills test: 11%
Other: 11%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at Meta in Feb 2022
Interview
They had a website that does a good job at showing you every step of the process and tells you what prep your required. I would higly reccomend being very comfortable with solving alot algorithim based interviews and being fast.
Interview questions [1]
Question 1
Write a function that returns the elements on odd positions (0 based) in a list
I had a Technical Screening where I was asked to code some SQL and Python questions. They are of medium difficulty. I thought I did decent, but still didn't get through .. :P
Interview questions [1]
Question 1
Python Coding involving data structures
SQL coding
There is a phone screen followed by two interviews. Phone consists of basic DSA and database questions with a behavioral question or two. After the phone screen there will be a coding focused round, and a database focused round separately.
Interview questions [1]
Question 1
Study Python Data Structures( Lists, Dictionaries, Sets, Tuples etc.), and SQL.