Lyft Data Engineer (Mid-Level) Interview Preparation Guide
Data Engineer
Lyft
Mid Level
7 rounds
Updated 11/22/2025
Lyft's Data Engineer interview process for mid-level candidates spans multiple weeks and includes a recruiter screening, a technical phone screen, and five comprehensive onsite rounds. The process evaluates technical proficiency in SQL, Python, and distributed data processing; system design and architecture thinking; operational reliability and data quality; and behavioral competencies including collaboration and project ownership. Each round assesses different dimensions of the role, reflecting Lyft's need for engineers who can design scalable data infrastructure, execute projects end-to-end, and contribute positively to cross-functional teams.
Interview Rounds
1
Recruiter Screening
40 min4 focus topicsculture fit
2
Phone Technical Screen
60 min4 focus topicstechnical
3
Onsite Round 1: Data Pipeline & Architecture Design
60 min4 focus topicssystem design
4
Onsite Round 2: SQL & Python Coding Challenge
55 min4 focus topicstechnical
5
Onsite Round 3: Data Quality, Governance & Operational Design
60 min5 focus topicssystem design
6
Onsite Round 4: Behavioral & Cross-Functional Collaboration
50 min5 focus topicsbehavioral
7
Onsite Round 5: Team Fit & Manager Discussion
45 min4 focus topicsculture fit
Additional Information