Process
It was mostly consistent with what data engineers do day to day at work, with heavy importance placed on SQL and Python.
The first interview was with HR. Once HR approves, you can set up the technical interview round, where they check your Python and SQL skills.
Questions
SQL - Window function (LAG and LEAD) and CTEs
Python - Basic questions on string and array manipulations. They prefer native coding styles instead of using packages like pandas and numpy.
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Interview Statistics
The following metrics were computed from 347 interview experiences for the Meta Data Engineer role in United States.
Success Rate
Meta's interview process for their Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Data Engineer interview process in United States.
Meta Work Experiences
- 5.0Great salary, interesting workData Engineer • Current EmployeeJanuary 5, 2022Pros: Great salary, interesting work, smart colleagues.Cons: The job can get repetitive and is less technical than at many other companies.
- 5.0Autonomous Work, Boring TasksData Engineer • Former EmployeeFebruary 13, 2023Pros: Amazing perks and WLB. Definitely felt like the company did a good job letting me be autonomous.Cons: Being a data engineer at Meta is boring. You build a lot of dashboards and templated pipelines.
- 1.0High Pressure, Bad Management Team, Selfish TeammateData Engineer • Former EmployeeOctober 8, 2023Pros: Good pay, good benefits, work from home.Cons: Almost no plan or help during onboarding. Teammates are selfish and competing with new hires. No collaboration or teamwork. Manager lacks management skills. High pressure, fear of PIP or layoff all the time.
Meta Interview Questions
