Lyft Data Engineer Interview Preparation Guide - Junior Level
Data Engineer
Lyft
Junior
7 rounds
Updated 11/22/2025
Lyft's Data Engineer interview process for junior-level candidates consists of an initial recruiter screening followed by a technical phone screen and 4-5 onsite interview rounds conducted over 1-2 days. The process evaluates SQL proficiency, Python programming, data structures understanding, ETL and data pipeline knowledge, data modeling capabilities, system design thinking, and cultural fit. Rounds include live coding on shared platforms, SQL query optimization, ETL pipeline design discussions, basic system architecture, and behavioral assessments focused on learning ability and collaboration.
Interview Rounds
1
Recruiter Screening
45 min6 focus topicsbehavioral|culture fit
2
Technical Phone Screen
60 min5 focus topicstechnical
3
Onsite Round 1 - Data Modeling and SQL Deep Dive
60 min4 focus topicstechnical
4
Onsite Round 2 - ETL, Data Pipelines, and Python
60 min5 focus topicstechnical
5
Onsite Round 3 - Data Systems Architecture and Basic Design
60 min4 focus topicssystem design
6
Onsite Round 4 - Behavioral and Team Collaboration
60 min5 focus topicsbehavioral|culture fit
7
Onsite Round 5 - Project Deep Dive and Technical Synthesis
60 min4 focus topicstechnical
Additional Information