Data Engineer Interview Experience - Kirkland, Washington
March 16, 2026
Neutral ExperienceNo Offer
Process
Initial Screening:
- 3 SQL questions
- 3 Python questions
SQL:
- Star schema, sales transaction fact, book author etc dims
- Identify authors who have published at least 5 books.
- Calculate the percentage of total sales completed on the same day the customer registered.
- Find customers who purchased 3 or more books on both the first and last day of sales, excluding those with only one transaction.
- Find the IDs of the top 5 customers, ordered by average payment per book made by the people they invited.
- 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?
- What was the total value of sales and the number of unique paying customers, grouped and sorted in descending order by payment type?
- Having a transaction table, find the sum of total orders and the count of unique customers.
Python:
- Calculate the average book price from a list of prices.
- 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.
- Search for an element in an unsorted list.
- Given a list of workshops, return the largest number of classes that were hosted in total across any consecutive years that had at least one workshop each.
Questions
They asked SQL and Python.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Meta Data Engineer role in Kirkland, Washington.
Success Rate
0%
Pass Rate
Meta's interview process for their Data Engineer roles in Kirkland, Washington is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Meta's Data Engineer interview process in Kirkland, Washington.
Meta Work Experiences
5.0
2.5 years - best company I was working in so far
Data Engineer • Current Employee
London, England, United Kingdom
May 25, 2020
Pros: 1. Impact-driven culture! Not the amount of work matters, but the amount of impact by this work.
2. The company is 99.9% data-driven. All conflicts are solved with data. It's really easy to prove your point and convince others.
3. People. They are open, critical-thinking, and just amazing! Every single person, starting from my teammates and finishing with Zuck.
4. Open culture (no decisions are hidden by leadership).
5. Feedback culture - you can improve every day! People provide you feedback all the time.
Cons: 1. Sometimes it is a bit tricky to manage work/life balance. There are so many fantastic projects that you can't stop but work on.
2. The company is really big. It's hard to see the full picture.
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.
5.0
Collaborative Learning Environment
Data Engineer • Current Employee
January 24, 2022
Pros: - Brilliant coworkers
- No one has a superiority complex; everyone is willing to learn and teach.
Cons: The internship structure was a bit less structured than I hoped, but I learned to be resourceful.
- 5.02.5 years - best company I was working in so farData Engineer • Current EmployeeLondon, England, United KingdomMay 25, 2020Pros: 1. Impact-driven culture! Not the amount of work matters, but the amount of impact by this work. 2. The company is 99.9% data-driven. All conflicts are solved with data. It's really easy to prove your point and convince others. 3. People. They are open, critical-thinking, and just amazing! Every single person, starting from my teammates and finishing with Zuck. 4. Open culture (no decisions are hidden by leadership). 5. Feedback culture - you can improve every day! People provide you feedback all the time.Cons: 1. Sometimes it is a bit tricky to manage work/life balance. There are so many fantastic projects that you can't stop but work on. 2. The company is really big. It's hard to see the full picture.
- 4.0Rewarding if you're ready to work for itData Engineer • Current EmployeeSunnyvale, California, United StatesAugust 24, 2025Pros: 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.
- 5.0Collaborative Learning EnvironmentData Engineer • Current EmployeeJanuary 24, 2022Pros: - Brilliant coworkers - No one has a superiority complex; everyone is willing to learn and teach.Cons: The internship structure was a bit less structured than I hoped, but I learned to be resourceful.
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