Write a query to find engagement score from users

Last updated: December 11, 2025

Quick Overview

Write a SQL query to calculate engagement score from the users table, considering nulls and duplicates.

Doordash
Data Manipulation (SQL/Python)
Data Scientist
Doordash
December 11, 2025
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Medium

24

6

3,330 solved


Write a SQL query to calculate engagement score from the users table, considering nulls and duplicates.

Data manipulation questions at Doordash test your ability to work with real-world datasets. This Onsite question evaluates your SQL proficiency, understanding of data modeling, and ability to derive insights from raw data.

What the Interviewer Expects
  • Use advanced SQL features: window functions, CTEs, subqueries
  • Write efficient queries that avoid common performance pitfalls
  • Handle complex data transformations with multiple joins and aggregations
  • Discuss indexing strategy and query optimization
  • Address data quality issues: duplicates, missing values, outliers
Key Topics to Cover
Pandas vectorized operations and groupby
Data cleaning and transformation
Aggregate functions and GROUP BY
Subqueries and correlated subqueries
Common Table Expressions (CTEs)
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
  • What indexes would you create to support this query?
  • How would you validate the correctness of your query results?
  • What would you do if this query needs to run every 5 minutes?
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