Taro Logo

Data Engineer Interview Experience - Menlo Park, California

September 1, 2025
Positive ExperienceGot Offer

Process

My interview process had three stages:

  • Recruiter chat
  • Phone call with the hiring manager
  • Onsite loop

The recruiter chat was about 20-30 minutes, covering my resume and a project walkthrough. It was nothing out of the ordinary.

The phone screen was 60 minutes, split between SQL and Python.

  • Tasks included sorting a column, comparing sales percentages between the first and last day of a period, coding a binary search, and calculating the average length of lists.

The onsite loop consisted of four back-to-back interviews:

  • Two SQL/ETL interviews, covering joins, subqueries, and some tricky window functions.
  • One data modeling interview, where I had to design a database for Google Classroom.
  • One ownership/behavioral interview, focusing on past challenges, leadership style, and influencing peers.

They also lightly checked product sense, asking how I would use metrics to track feature impact.

For preparation, LeetCode Easy/Medium and Stratascratch were perfect for brushing up. A mock interview on Prepfully also proved very helpful.

I found the interviewers to be quite collaborative and not adversarial. They even hinted when I was going off track.

Questions

Design DB for Google Classroom

Was this helpful?

Interview Statistics

The following metrics were computed from 76 interview experiences for the Meta Data Engineer role in Menlo Park, California.

Success Rate

18%
Pass Rate

Meta's interview process for their Data Engineer roles in Menlo Park, California is very selective, failing most engineers who go through it.

Experience Rating

Positive67%
Neutral20%
Negative13%

Candidates reported having very good feelings for Meta's Data Engineer interview process in Menlo Park, California.