Process
The process begins with an application review and a recruiter screening, followed by a technical phone interview that assesses SQL, data modeling, data warehousing, ETL processes, and coding skills in languages such as Python or Java. Successful candidates then proceed to onsite or virtual interviews, which include multiple rounds covering coding, system design, data architecture, problem solving, and behavioral questions.
Questions
Tell us about yourself and why you want to work for us.
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Interview Statistics
The following metrics were computed from 428 interview experiences for the Meta Data Engineer role.
Success Rate
Meta's interview process for their Data Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Data Engineer interview process.
Meta Work Experiences
- 4.0Meta data engineerData Engineer • Former EmployeeTel Aviv-Yafo, IsraelFebruary 1, 2024Pros: Working on products that are used by over 2 billion people.Cons: Not a lot of room for innovation.
- 3.0Quickly becoming a nightmareData Engineer • Current EmployeeNew York, New York, United StatesFebruary 21, 2025Pros: The stocks are doing well, so the money is good.Cons: They keep cutting benefits every day. Also, it's pretty much a Squid Game here. No one can survive eventually, except the AI.
- 3.0Fast-paced, constantly changingData Engineer • Current EmployeeJune 29, 2022Pros: - You get to learn a lot. - Very fast pace. - Get to collaborate with industry leaders.Cons: - Constant re-orgs (by design to change things up to give off the perception that things aren't stagnant) - Poor WLB at times - Re-orgs can cause your team dynamic to change really quickly
Meta Interview Questions
