Meta

Data Engineer Interview Experience

August 12, 2025

Neutral ExperienceNo Offer

Process

Typical recruiter screening, followed by a phone screen.

There will be 3 SQL and 3 Python questions. The SQL questions are medium to hard level, and the Python questions are easy to medium.

Practice SQL on percentages and aggregations.

Questions

Bookstore schema and its related questions.

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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

Balanced Culture, Manageable Hectic

Data Engineer • Current Employee

Pros: The work culture is pretty balanced and I feel it's perfect.

Cons: It can get slighty hectic but hey thats okay

Balanced Culture, Manageable Hectic

Data Engineer • Current Employee

Pros: The work culture is pretty balanced and I feel it's perfect.

Cons: It can get slighty hectic but hey thats okay

Fantastic autonomy and scope for a data engineer

Data Engineer • Current Employee

London, England, United Kingdom

February 12, 2021

Pros: Excellent autonomy for ICs. Wide scope, with a lot of trust in employees. Good benefits.

Cons: It can be competitive and is certainly a difficult job. It's easy to take your work home with you, with a lot of onus on you as an individual to make the job suit you and to choose the work that is most valuable.

Fantastic autonomy and scope for a data engineer

Data Engineer • Current Employee

London, England, United Kingdom

February 12, 2021

Pros: Excellent autonomy for ICs. Wide scope, with a lot of trust in employees. Good benefits.

Cons: It can be competitive and is certainly a difficult job. It's easy to take your work home with you, with a lot of onus on you as an individual to make the job suit you and to choose the work that is most valuable.

Meta Data Eng

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Autonomy, salary, perks, interesting problems.

Cons: Big company feel, too much process, too many people who don't care.

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Autonomy, salary, perks, interesting problems.

Cons: Big company feel, too much process, too many people who don't care.

Balanced Culture, Manageable Hectic

Data Engineer • Current Employee

Pros: The work culture is pretty balanced and I feel it's perfect.

Cons: It can get slighty hectic but hey thats okay

5.0
Balanced Culture, Manageable Hectic
Data Engineer • Current Employee
March 28, 2025
Pros: The work culture is pretty balanced and I feel it's perfect.
Cons: It can get slighty hectic but hey thats okay

Fantastic autonomy and scope for a data engineer

Data Engineer • Current Employee

London, England, United Kingdom

February 12, 2021

Pros: Excellent autonomy for ICs. Wide scope, with a lot of trust in employees. Good benefits.

Cons: It can be competitive and is certainly a difficult job. It's easy to take your work home with you, with a lot of onus on you as an individual to make the job suit you and to choose the work that is most valuable.

5.0
Fantastic autonomy and scope for a data engineer
Data Engineer • Current Employee
London, England, United Kingdom
February 12, 2021
Pros: Excellent autonomy for ICs. Wide scope, with a lot of trust in employees. Good benefits.
Cons: It can be competitive and is certainly a difficult job. It's easy to take your work home with you, with a lot of onus on you as an individual to make the job suit you and to choose the work that is most valuable.

Meta Data Eng

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Autonomy, salary, perks, interesting problems.

Cons: Big company feel, too much process, too many people who don't care.

4.0
Meta Data Eng
Data Engineer • Current Employee
Menlo Park, California, United States
June 1, 2022
Pros: Autonomy, salary, perks, interesting problems.
Cons: Big company feel, too much process, too many people who don't care.

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.

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