Meta

Data Engineer Interview Experience - Menlo Park, California

December 1, 2020

Positive ExperienceNo Offer

Process

The interview wasn't hard, but it was full of logical thinking exercises. They wanted to measure my knowledge in the Data Warehousing field.

The interviewers were nice and helpful, and the interview was more like a conversation.

This was my first FAANG interview, and the recruiters and interviewers made me feel so comfortable.

Questions

Data Modeling:

A data modeling question for a hypothetical scenario where you have scope to work on your Data Warehousing knowledge.

How will you design ETL pipelines for the model?

SQL question to display data from your model.

Python/SQL questions.

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Interview Statistics

The following metrics were computed from 82 interview experiences for the Meta Data Engineer role in Menlo Park, California.

Success Rate

21%

Pass Rate

Meta's interview process for their Data Engineer roles in Menlo Park, California is very selective, failing most engineers who go through it.

Experience Rating

Positive68%

Neutral20%

Negative12%

Candidates reported having very good feelings for Meta's Data Engineer interview process in Menlo Park, California.

Meta Work Experiences

Difficult onboarding with poorly defined roles, but an easy enough workplace to fit into and be satisfied

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Lots of job autonomy. Excellent paternity leave for the US.

Cons: Teamwork is hard to find and not incentivized.

Difficult onboarding with poorly defined roles, but an easy enough workplace to fit into and be satisfied

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Lots of job autonomy. Excellent paternity leave for the US.

Cons: Teamwork is hard to find and not incentivized.

Lives up to the hype

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Impact, scale, the learning, tools, smart coworkers, the perks (free food!), reputation / resume name value, the compensation, and internal mobility.

Cons: Work-life balance can be a challenge. Also, it's sometimes hard not to feel overshadowed if you're not a SWE. Overall, though, it's awesome.

Lives up to the hype

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Impact, scale, the learning, tools, smart coworkers, the perks (free food!), reputation / resume name value, the compensation, and internal mobility.

Cons: Work-life balance can be a challenge. Also, it's sometimes hard not to feel overshadowed if you're not a SWE. Overall, though, it's awesome.

Pays well, Competitive work and slowly makes you useless

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Excellence in pay and benefits. Great opportunity to work on data at scale.

Cons: The tech stack is proprietary, and a lot of companies may not be able to relate to it. There's a lack of culture of collaboration. Everyone's trying to get impact for themselves, each one to its own.

Pays well, Competitive work and slowly makes you useless

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Excellence in pay and benefits. Great opportunity to work on data at scale.

Cons: The tech stack is proprietary, and a lot of companies may not be able to relate to it. There's a lack of culture of collaboration. Everyone's trying to get impact for themselves, each one to its own.

Difficult onboarding with poorly defined roles, but an easy enough workplace to fit into and be satisfied

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Lots of job autonomy. Excellent paternity leave for the US.

Cons: Teamwork is hard to find and not incentivized.

5.0
Difficult onboarding with poorly defined roles, but an easy enough workplace to fit into and be satisfied
Data Engineer • Current Employee
Menlo Park, California, United States
August 6, 2021
Pros: Lots of job autonomy. Excellent paternity leave for the US.
Cons: Teamwork is hard to find and not incentivized.

Lives up to the hype

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Impact, scale, the learning, tools, smart coworkers, the perks (free food!), reputation / resume name value, the compensation, and internal mobility.

Cons: Work-life balance can be a challenge. Also, it's sometimes hard not to feel overshadowed if you're not a SWE. Overall, though, it's awesome.

5.0
Lives up to the hype
Data Engineer • Current Employee
Menlo Park, California, United States
July 7, 2017
Pros: Impact, scale, the learning, tools, smart coworkers, the perks (free food!), reputation / resume name value, the compensation, and internal mobility.
Cons: Work-life balance can be a challenge. Also, it's sometimes hard not to feel overshadowed if you're not a SWE. Overall, though, it's awesome.

Pays well, Competitive work and slowly makes you useless

Data Engineer • Current Employee

Menlo Park, California, United States

Pros: Excellence in pay and benefits. Great opportunity to work on data at scale.

Cons: The tech stack is proprietary, and a lot of companies may not be able to relate to it. There's a lack of culture of collaboration. Everyone's trying to get impact for themselves, each one to its own.

4.0
Pays well, Competitive work and slowly makes you useless
Data Engineer • Current Employee
Menlo Park, California, United States
March 27, 2025
Pros: Excellence in pay and benefits. Great opportunity to work on data at scale.
Cons: The tech stack is proprietary, and a lot of companies may not be able to relate to it. There's a lack of culture of collaboration. Everyone's trying to get impact for themselves, each one to its own.

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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