DoorDash Data Engineer Interview Preparation Guide | Mid-Level
Data Engineer
Doordash
Mid Level
6 rounds
Updated 11/22/2025
DoorDash conducts a comprehensive five-to-six stage interview process for mid-level Data Engineers, designed to evaluate technical depth in SQL and Python, system design thinking for distributed data pipelines, data modeling expertise, and cross-functional collaboration skills. The process combines recruiter screening, technical phone assessments, and multiple on-site rounds focused on real-world data infrastructure challenges. Expect questions rooted in DoorDash's core business: high-volume event streams (orders, driver pings, payments), near-real-time analytics, and hyper-local logistics infrastructure.
Interview Rounds
1
Recruiter Screening
30 min4 focus topicsculture fit
2
Technical Phone Screen
75 min4 focus topicstechnical
3
On-site Round 1: Advanced SQL & Query Optimization
90 min4 focus topicstechnical
4
On-site Round 2: Data Pipeline Architecture & System Design
90 min5 focus topicssystem design
5
On-site Round 3: Data Modeling & Schema Design
90 min5 focus topicstechnical
6
On-site Round 4: Behavioral & Cross-functional Collaboration
60 min5 focus topicsbehavioral
Additional Information