Data Engineer Interview Experience - Seattle, Washington
Process
Phone screen a week ago.
I was able to complete 3 SQL questions, and for the 4th, I was able to get the pseudocode done. The interviewer was okay.
I was also able to complete 3 Python questions.
I received an email later to set up the onsite interview.
I did not encounter any questions from Glassdoor. The questions were not overly difficult, but they were not straightforward either. Even though I only completed 3 SQL/Python questions, I was able to explain my thought process and debug the code when there were errors. The interviewer was very helpful and friendly.
I don't think they expect you to solve all 5 problems for each language, nor do they expect one-line solutions for all of them. Be clear, have a discussion with the interviewer, and listen to their hints.
Good luck. I will update this after my onsite.
Questions
Easy to medium SQL/Python questions.
Lists/strings manipulation.
Was this helpful?
Interview Statistics
The following metrics were computed from 17 interview experiences for the Meta Data Engineer role in Seattle, Washington.
Success Rate
Meta's interview process for their Data Engineer roles in Seattle, Washington is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having good feelings for Meta's Data Engineer interview process in Seattle, Washington.
Meta Work Experiences
- 5.0I like it hereData Engineer • Current EmployeeSeattle, Washington, United StatesMay 5, 2020Pros: Fun and fast-paced culture, interesting problems to solve. The company bends over backwards to please employees. Coworkers are smart and pull their weight, with opportunities to have surprising influence even at the bottom of the ladder. Work-life balance boundaries are largely respected, and most engineers work normal 40-hour weeks. Obvious benefits include good pay, free food, free commute, etc.Cons: Bottoms-up decision-making leads to confusion and a sometimes tense atmosphere. The tech stack doesn't transfer well to other companies. If you don't set boundaries, the job can consume your life. Competitive environment, no guarantee of career progression. Not a good place to coast or slack.
- 5.0Valuable Learning, Niche SkillsetData Engineer • Former EmployeeSeattle, Washington, United StatesOctober 17, 2022Pros: Kept learning, worked with data at scale, great food.Cons: Learnings of tools are not as transferable to other companies that don’t have the in-house tools.
- 5.0High impact learningData Engineer • Current EmployeeSeattle, Washington, United StatesJanuary 2, 2018Pros: - Great work culture - AMAZING perksCons: Super intimidating working with such smart people. It's also a pro!
Meta Interview Questions
