Data Engineer Interview Experience - Seattle, Washington
January 1, 2024
Positive ExperienceGot Offer
Process
1 Round with recruiter to make sure my experience fits the position.
1 Technical phone screen (30 minutes each for SQL and Python).
Virtual "On Sight" Interview - 4 Rounds:
- 30-minute round on ownership questions.
- 3 rounds (1 hour each) including a combination of product sense questions (e.g., what metrics would be good for product X?), data modeling, SQL, and a Python streaming question.
Questions
Given the following data, how would you process and store it, assuming you can only read one line at a time?
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Interview Statistics
The following metrics were computed from 17 interview experiences for the Meta Data Engineer role in Seattle, Washington.
Success Rate
6%
Pass Rate
Meta's interview process for their Data Engineer roles in Seattle, Washington is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive53%
Neutral18%
Negative29%
Candidates reported having good feelings for Meta's Data Engineer interview process in Seattle, Washington.
Meta Work Experiences
5.0
Valuable Learning, Niche Skillset
Data Engineer • Former Employee
Seattle, Washington, United States
October 17, 2022
Pros: 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.
2.0
Intense work pace
Data Engineer • Current Employee
Seattle, Washington, United States
March 27, 2024
Pros: Good technical growth from teammates.
Cons: You need to be strongly self-driven and hunt for projects.
5.0
I like it here
Data Engineer • Current Employee
Seattle, Washington, United States
May 5, 2020
Pros: 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.
- 2.0Intense work paceData Engineer • Current EmployeeSeattle, Washington, United StatesMarch 27, 2024Pros: Good technical growth from teammates.Cons: You need to be strongly self-driven and hunt for projects.
- 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.
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