# Meta Data Engineer Interview Experiences

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Source: https://www.aced.io/guides/meta-data-engineer-interview/experiences
Source observed: 2026-11-04T22:43:18.254Z
Last checked: 2026-11-04T22:43:18.254+00:00
Indexed: 2026-11-05T04:21:48.554+00:00

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# Meta Data Engineer Interview Experiences

We collect candidate-reported experiences to help people prepare for Meta Data Engineer interviews. This experiences section was **updated 23 days ago by Meta candidates** and contains **8 interview experiences**. The related guide has **62 questions** and a resumes section.

- [Expert guide](https://www.aced.io/guides/meta-data-engineer-interview)
- [Interview experiences](https://www.aced.io/guides/meta-data-engineer-interview/experiences)
- [Questions](https://www.aced.io/guides/meta-data-engineer-interview/questions)
- [Resumes](https://www.aced.io/guides/meta-data-engineer-interview/resumes)

[Share your experience](https://www.aced.io/questions/contribute?src=guide)

## Interview overview

| Measure | Reported result |
|---|---|
| Interview difficulty | Most candidates rate the Meta interview as **moderate** |
| Outcomes | **60%** of reported interviews result in an offer; **2** reported no-offer outcomes and **3** accepted outcomes are shown |
| Most common question areas | **SQL** and **Analytical** questions; the breakdown shown is SQL **3**, Analytical **2**, Coding **2**, Other **8** |

## Featured experience: Senior Data Engineer

[Senior Data Engineer](https://www.aced.io/experiences/meta-facebook-senior-data-engineer-interview-f71127?returnPath=%2Fguides%2Fmeta-data-engineer-interview%2Fexperiences)

**Meta · Senior / L5 · United States**  
Submitted **Apr 13, 2026** · Verified **April 2026** · **Difficult**

The candidate interviewed for Meta IC5 Senior Data Engineer and described the process as hard but achievable with targeted preparation. The first major hurdle was a live **1-hour CoderPad** screening with **3 SQL and 3 Python questions**, where time pressure was the biggest challenge. The onsite consisted of **four rounds** and emphasized SQL, data modeling, analytical thinking, and tradeoffs. The candidate designed an Uber-style data model and defended scaling choices including bucketing and hash-based partitioning when the table exceeded **1 TB**. Overall, the experience was described as SQL-heavy and focused on demonstrating technical depth rather than solving only toy problems.

### Questions asked

- [Design a database schema for a ride sharing app.](https://www.aced.io/questions/5545)
- [Given a stream of Uber ride requests, compute the number of ride requests in every 15-minute window.](https://www.aced.io/questions/6288)
- [Given a library-style schema with books, users, and check-in/check-out data, write a query to find for each user the number of books they checked out and did not return before the due date, and return the username and count.](https://www.aced.io/questions/6289)
- [+6 more questions](https://www.aced.io/experiences/meta-facebook-senior-data-engineer-interview-f71127?returnPath=%2Fguides%2Fmeta-data-engineer-interview%2Fexperiences)

[Read the full experience](https://www.aced.io/experiences/meta-facebook-senior-data-engineer-interview-f71127?returnPath=%2Fguides%2Fmeta-data-engineer-interview%2Fexperiences)

## Additional candidate experiences

### Data Engineer

The candidate entered through a referral. The process consisted of a recruiter call, a **60-minute technical screen** split into **30 minutes of SQL and 30 minutes of Python**, a **30-minute behavioral** interview, and **three loop rounds**. Each loop round combined product sense, data modeling, SQL, and Python rather than testing them separately. The candidate found interviewers helpful when they spoke aloud and asked clarifying questions, and received preparation material from recruiters.

Questions listed:

- Tell me about yourself.
- Tell me about a time when you improved a complex process.
- Talk me through your work experience in the past year.
- **+20 more questions** (no distinct destination URL was supplied in the evidence)

### Data Engineer

The technical round covered SQL and data structures. The SQL portion felt more familiar to the candidate, while reversing a linked list required additional thought. Time management was the biggest challenge.

Questions listed:

- Top Salaries by Department
- Reverse a linked list.

### Data Engineer

The technical screening consisted of **3 SQL and 3 Python** questions. The candidate described time pressure as the main challenge.

Questions listed:

- Preferred location
- Why are you looking for a new role?
- SQL - Library schema

### Data Engineer

The process was described as rigorous, with SQL speed and precision, product sense, and modeling concepts emphasized.

Questions listed:

- 10 Objective SQL / Coding Questions
- Where do you see yourself in five years?
- 4 SQL Live Coding

### Data Engineer

The recruiter provided study advice and preparation pointers. The biggest challenge was answering accurately under pressure and time constraints.

Questions listed:

- Talked about experience and motivation
- Walk me through your experience.
- Why Meta?

### Data Engineer

The process was described as structured until the system-design round. That round was conversational and ended with pseudocode; the candidate was uncertain which signals Meta was seeking from a Data Engineer.

Questions listed:

- How would you decide on a KPI for building a system and how would you improve it?
- Design Uber. Data modeling interview

### Data Engineer

The candidate compared the process with software-engineering internship recruiting, describing easier coding questions plus SQL questions and **3 rounds rather than 2**.

Questions listed:

- Basic Technical Trivia
- LC and SQL Easies + Mediums, similar to prep provided by recruiter

## Unlock all interview experiences

Get trial access when you share your own experience, or become a member to unlock everything.

- [Share your experience](https://www.aced.io/questions/contribute?src=guide-experiences)
- [Become a member](https://www.aced.io/upgrade?src=guide-experiences)

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