Join sessions and messages to find time to first action

Last updated: August 10, 2025

Quick Overview

Write a query joining sessions and rides to produce the combined time to first action.

Airbnb
Data Manipulation (SQL/Python)
Data Scientist
Airbnb
August 10, 2025
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Hard

124

7

2,291 solved


Write a query joining sessions and rides to produce the combined time to first action.

Airbnb asks this during the Onsite because data engineering skills are critical for the role. You should be comfortable with complex joins, window functions, CTEs, and performance optimization.

What the Interviewer Expects
  • Solve complex analytical problems with elegant, readable SQL
  • Optimize queries for large-scale datasets with partitioning and indexing
  • Use recursive CTEs, lateral joins, and advanced window functions
  • Design the data model alongside the query solution
  • Discuss trade-offs between SQL and programmatic approaches (Python/pandas)
  • Consider the operational aspects: query scheduling, incremental processing
Key Topics to Cover
Data cleaning and transformation
Aggregate functions and GROUP BY
Index optimization and query performance
NULL handling and COALESCE
How to Approach This
  1. Clarify the schema and expected output format before writing queries.
  2. Use CTEs (WITH clauses) to break complex queries into readable steps.
  3. Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
  4. Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
  5. For pandas, prefer vectorized operations over row-by-row iteration.
Possible Follow-up Questions
  • Can you rewrite this without using subqueries?
  • How would you validate the correctness of your query results?
  • What indexes would you create to support this query?
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