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Finding nth Highest Salary within each department

SQLmedium2 min read

Reviewed by Aditya Kumar · Last reviewed 2026-08-08

Rank within each department, then filter to N. PARTITION BY restarts the numbering per department, so one query answers it for every department at once. Parameterise it safely The natural follow up is…

🤖 Analyze Your Answer
Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Walmart
Key Concepts Tested
partition

Why This Question Matters

This medium-level SQL question appears frequently in data engineering interviews at companies like Walmart. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition) will help you answer variations of this question confidently.

How to Approach This

Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones. The expert answer includes a code example that demonstrates the implementation pattern.

Expert Answer
322 wordsIncludes code

Rank within each department, then filter to N. PARTITION BY restarts the numbering per department, so one query answers it for every department at once.

SELECT department, employee_id, salary
FROM (
  SELECT employee_id,
         department,
         salary,
         DENSE_RANK() OVER (PARTITION BY department
                            ORDER BY salary DESC) AS rk
  FROM   employees
) ranked
WHERE rk = :n;

Parameterise it safely

The natural follow-up is "now make N configurable". Pass it as a bind parameter, as above, rather than concatenating it into the SQL string. String-building a query from user input is a SQL injection hole, and it also defeats plan caching because every value of N produces a textually different statement. A bind parameter reuses one cached plan.

Choosing the ranking function

DENSE_RANK treats tied salaries as one rank and skips nothing, so N means "the Nth distinct salary" — usually the intended reading. RANK skips ranks after a tie, so rank N may not exist and the query can return nothing. ROW_NUMBER never ties but picks arbitrarily between equal salaries, so results are not reproducible unless you add a deterministic tiebreaker such as ORDER BY salary DESC, employee_id.

Why not a correlated subquery

The classic pre-window approach counts distinct higher salaries per row. It is correlated, so it re-scans the department for every row and degrades quadratically. The window version sorts once per partition and streams through. On any realistic table the difference is large, and knowing why is the point of the question.

Performance and edge cases

A composite index on (department, salary DESC) supplies rows in partition and sort order, letting the engine skip the sort. Departments with fewer than N distinct salaries return no row, which is correct but worth stating. If callers need every department represented, LEFT JOIN the ranked set back onto the department list.

In the interview, also mention that TOP N per group is the same pattern with rk <= :n.

⚡
Pro Tip

Red Flag: N=1 with ROW_NUMBER—use MAX or FIRST. Pro-Move: 'We used a config table for N per report—top 3 for exec, top 10 for manager dashboard.'

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Related SQL Questions

mediumWrite an SQL query to find the second-highest salary from an employee table.FreemediumDemonstrate the difference between DENSE_RANK() and RANK()FreemediumDiscuss differences between ROW_NUMBER(), RANK(), and DENSE_RANK(), and provide examples from your projects.FreemediumExplain the differences between Data Warehouse, Data Lake, and Delta LakeFreemediumExplain the differences between Repartition and Coalesce. When would you use each?Free

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According to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 1 company. DataEngPrep.tech maintains an editor-reviewed database of 1,863 data engineering interview questions across 7 categories.

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