Meta

Data Engineer Interview Experience

July 7, 2022

Neutral ExperienceNo Offer

Process

The interview process began with an HR screening. This was followed by a technical round featuring SQL and Python questions.

Next, there were four final rounds:

Data Modeling
Product Sense (with Python and SQL)
Behavioral Round

Questions

5 SQL and 5 Python questions in a technical round

Was this helpful?

Interview Statistics

The following metrics were computed from 347 interview experiences for the Meta Data Engineer role in United States.

Success Rate

15%

Pass Rate

Meta's interview process for their Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive63%

Neutral24%

Negative13%

Candidates reported having very good feelings for Meta's Data Engineer interview process in United States.

Meta Work Experiences

Rewarding But Demanding Role

Data Engineer • Current Employee

Toronto, Ontario, Canada

Pros: High pay and good benefits

Cons: High workload and fast-paced.

Rewarding But Demanding Role

Data Engineer • Current Employee

Toronto, Ontario, Canada

Pros: High pay and good benefits

Cons: High workload and fast-paced.

Rewarding if you're ready to work for it

Data Engineer • Current Employee

Sunnyvale, California, United States

August 24, 2025

Pros: Meta pays well. Getting to work with brilliant people is a plus.

Cons: If you end up on the wrong team, your time at Meta will be difficult.

Rewarding if you're ready to work for it

Data Engineer • Current Employee

Sunnyvale, California, United States

August 24, 2025

Pros: Meta pays well. Getting to work with brilliant people is a plus.

Cons: If you end up on the wrong team, your time at Meta will be difficult.

Fast-paced, Collaborative, Poor Balance

Data Engineer • Former Employee

Pros: - collaborative teams - fast-paced environment

Cons: Lack of work-life balance.

Fast-paced, Collaborative, Poor Balance

Data Engineer • Former Employee

Pros: - collaborative teams - fast-paced environment

Cons: Lack of work-life balance.

Rewarding But Demanding Role

Data Engineer • Current Employee

Toronto, Ontario, Canada

Pros: High pay and good benefits

Cons: High workload and fast-paced.

5.0
Rewarding But Demanding Role
Data Engineer • Current Employee
Toronto, Ontario, Canada
July 8, 2024
Pros: High pay and good benefits
Cons: High workload and fast-paced.

Rewarding if you're ready to work for it

Data Engineer • Current Employee

Sunnyvale, California, United States

August 24, 2025

Pros: Meta pays well. Getting to work with brilliant people is a plus.

Cons: If you end up on the wrong team, your time at Meta will be difficult.

4.0
Rewarding if you're ready to work for it
Data Engineer • Current Employee
Sunnyvale, California, United States
August 24, 2025
Pros: Meta pays well. Getting to work with brilliant people is a plus.
Cons: If you end up on the wrong team, your time at Meta will be difficult.

Fast-paced, Collaborative, Poor Balance

Data Engineer • Former Employee

Pros: - collaborative teams - fast-paced environment

Cons: Lack of work-life balance.

3.0
Fast-paced, Collaborative, Poor Balance
Data Engineer • Former Employee
July 11, 2022
Pros: - collaborative teams - fast-paced environment
Cons: Lack of work-life balance.

Meta Interview Questions

Minimum Remove to Make Valid Parentheses

Given a string with parentheses, determine the minimum number of parentheses you must remove to make the string valid. A valid string has balanced and properly nested parentheses.

StringsStacksTwo Pointers

Valid Word Abbreviation

Determine if a given abbreviation is valid for a given word. An abbreviation can contain digits representing the number of skipped characters.

StringsTwo Pointers

Binary Tree Vertical Order Traversal

Traverse a binary tree and return a list of node values for each vertical line, ordered from left to right. Nodes on the same vertical line should be ordered from top to bottom.

Copyright © Taro