The recruiter called. I spent about two months prepping really hard SQL questions and easy Python questions. The phone screening went really quick.
Some questions were not very clear, which required more time for clarification. I explained my scripts, but that didn't seem to matter since they did not move me on to the onsite interview.
The questions were very easy SQL; they were not the ones on the career site or Glassdoor, which are a little bit harder.
SQL questions asking for groups having certain counts.
SQL question asking for a percentage of the selected data.
Python question: Find values in a list.
Python question: Function that pulls a list and compares it to a parameter with an amount. Display the total number of elements in the list with a total value less than the amount.
The following metrics were computed from 347 interview experiences for the Meta Data Engineer role in United States.
Meta's interview process for their Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for Meta's Data Engineer interview process in United States.