Meta
Data Engineer
Practice for Data Engineer
Meta
Recruiter Screen
30 minutesA conversation with the recruiter to discuss your background, motivation, and basic technical knowledge. This is to ensure there are no glaring mismatches .
5 minutesTell me about yourself and your experience in data engineering.
5 minutesWhy are you interested in working as a Data Engineer at Meta?
5 minutesDescribe a challenging data engineering project you've worked on. What were the key challenges, and how did you overcome them?
All interviews are private and won't be shared with the recruiters.
Technical Deep Dive: SQL & Data Modeling
30 minutesA technical interview focusing on SQL proficiency and data modeling skills. Expect to write SQL queries and design data schemas to solve business problems .
5 minutesGiven a table of user activity logs, write a SQL query to find the top 10 most active users in the last week.
5 minutesExplain the difference between UNION and UNION ALL in SQL. Which one is faster, and why?
5 minutesDesign a data model for a ride-sharing app like Uber. What tables would you need, what columns would each table have, and what would be the primary and foreign keys?
All interviews are private and won't be shared with the recruiters.
Product Sense & Data Analysis
30 minutesThis round assesses your ability to think critically about product needs and translate them into data-driven solutions. You'll be asked to design dashboards, define metrics, and analyze user behavior .
5 minutesDesign a dashboard to highlight a certain aspect of user behavior on Facebook. What metrics would you include, and how would you visualize them?
5 minutesHow would you calculate unique logins by a user on facebook.com?
5 minutesHow would you rate the popularity of a video posted online? What metrics would you use, and how would you combine them into a single score?
All interviews are private and won't be shared with the recruiters.
Meta Values & Behavioral Assessment
30 minutesThis round assesses your alignment with Meta's core values and your ability to demonstrate key behavioral competencies, such as leadership, collaboration, and problem-solving .
5 minutesTell me about a time when you took the lead on a data engineering project. What were the key challenges, and how did you motivate your team to overcome them?
5 minutesDescribe a situation where you had to work with cross-functional teams (e.g., data scientists, product managers). How did you manage conflicting requirements?
5 minutesMeta has a core value to 'Move Fast'. Describe a time when you had to make a quick decision under pressure. What factors did you consider, and what was the outcome?
All interviews are private and won't be shared with the recruiters.