Kiewit Interview Questions

Kiewit Interview Guides

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Data Structures & Algorithms
(3)
Machine Learning
(3)
Behavioral
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Design Patterns
(1)
DevOps
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Kiewit Interview Questions

Practice for the Kiewit interview with these recently asked interview questions.

QuestionTopicDifficulty
Data Structures & Algorithms
Medium

Given a JSON string with nested objects, write a function flatten_json that flattens all the objects to a single key-value dictionary. Do not use the library that actually performs this function.

Example:

Input:

import json
json_str = json.dumps({'a':{'b':'c', 'd':'e'}})

Output:

def flatten_json(json_str) -> json.dumps({'a_b':'c', 'a_d':'e'})

Note: Input and output are in string format : use json.dumps() to convert python dictionary to string.

Machine Learning
Medium
Query Optimization
Medium
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Kiewit Salaries by Position

Data Engineer*
$108K
Data Engineer
Median: $108K
Mean (Average): $108K
Data points: 1
Business Analyst*
$98K
Business Analyst
Median: $98K
Mean (Average): $98K
Data points: 1

Most data science positions fall under different position titles depending on the actual role.

From the graph we can see that on average the Data Engineer role pays the most with a $108,300 base salary while the Business Analyst role on average pays the least with a $98,051 base salary.

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