Company profile
Plaid is the open-banking and account-connection layer behind most US consumer fintech apps, expanding into identity and credit data. Loops are tight and product-aware, with a system design round that almost always touches secure data sync, idempotency, and the realities of integrating with thousands of bank APIs.
Plaid operates in the fintech space with a headcount around 2K, which usually puts hiring in a middle zone: repeatable enough to have defined stages, small enough that the team you would join runs most of the loop. For backend engineer, analytics engineer, bi engineer candidates that generally means a recruiter conversation, skill rounds led by future teammates, and a closing conversation with a senior leader. The role pages below break down the questions for each function.
Plaid hires across several engineering and product functions, and the loop shifts with each one. Open a role for the reported questions, the round-by-round focus, and a salary band for that function.
Backend engineer interview questions and process at Plaid.
Analytics engineer interview questions and process at Plaid.
BI engineer interview questions and process at Plaid.
Data engineer interview questions and process at Plaid.
Data platform engineer interview questions and process at Plaid.
Data scientist interview questions and process at Plaid.
ETL engineer interview questions and process at Plaid.
Database engineer interview questions and process at Plaid.
Approximate senior median pay for Plaid's core roles, anchored to San Francisco and modelled from BLS, ONS, and Levels.fyi reference medians. These are market bands for the role and city, not Plaid offers. Open a role for the full city-by-city table.
Plaid holds a 3.9 Glassdoor rating. External review scores are directional signals. Treat them as context alongside the specific team, location, level, and hiring manager you are interviewing with.
Glassdoor 3.9