Meta Data Engineer Mid-Level Interview Preparation Guide
Data Engineer
Meta
Mid Level
7 rounds
Updated 11/22/2025
Meta's Data Engineer interview process for mid-level candidates (2-5 years experience) consists of 7 rounds spanning 4-6 weeks. The process begins with a recruiter screening, followed by two technical phone screens focused on SQL and Python proficiency, and concludes with four onsite rounds covering data modeling & schema design, ETL pipeline architecture, product sense & metrics, and behavioral/cultural fit. The interview evaluates technical depth across core data engineering skills, ability to design scalable systems, product understanding and business acumen, and alignment with Meta's values of moving fast, data-driven decision making, and cross-functional collaboration.
Interview Rounds
1
Recruiter Screening
30 min5 focus topicsbehavioral|culture fit
2
SQL Technical Screen
60 min6 focus topicstechnical
3
Python/Coding Technical Screen
60 min6 focus topicstechnical
4
Onsite Round 1: Data Modeling & Schema Design
60 min6 focus topicssystem design|technical
5
Onsite Round 2: ETL Pipeline Design & Data Architecture
60 min6 focus topicssystem design|technical
6
Onsite Round 3: Product Sense & Metrics
50 min6 focus topicscase study|system_design
7
Onsite Round 4: Behavioral Interview & Cultural Fit
50 min6 focus topicsbehavioral|culture fit
Additional Information