I applied through a recruiter. I interviewed at Meta in Apr 2025
Interview
It was a smooth process. The phone screen round has SQL and Python sections. You can choose which one you want to do first.
Python-
Q1. Write a function that returns the smallest non-negative number which can be generated by using all the digits with odd values of a given number
Q2. The bookstore gathered a list of customer comments from each shop location and wants to find the most common comment across all locations (ignoring duplicates from the same location). If multiple comments appear the same number of times, return any one of them.
Interview questions [3]
Question 1
For the SQL questions, the schema had 4 tables for all the SQL questions- author, transaction, customer, payment.
Q1. What was the total value of sales and the number of unique paying customers, grouped and sorted in descending order by payment type?
Q3. Find the total number of authors registered with the bookstore. What percentage of them have a website URL that contains ".com", and what percentage never made a sale?
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
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 -