Goldman Sachs Data Engineer Interview GuideGoldman Sachs Data Engineer Interview Guide

Overview

Getting ready for an Data Engineer interview at Goldman Sachs? The Goldman Sachs Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

  • Know what skills are necessary for Goldman Sachs Data Engineer roles.
  • Gain insights into the Data Engineer interview process at Goldman Sachs.
  • Practice real Goldman Sachs Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Goldman Sachs Data Engineer interview.

Goldman Sachs Data Engineer Salary

$102,319

Average Base Salary

$91,850

Average Total Compensation

Min: $65K
Max: $154K
Base Salary
Median: $105K
Mean (Average): $102K
Data points: 36
Min: $20K
Max: $154K
Total Compensation
Median: $93K
Mean (Average): $92K
Data points: 36

View the full Data Engineer at Goldman Sachs salary guide

Goldman Sachs Data Engineer Interview Process

Typically, interviews at Goldman Sachs vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Goldman Sachs Data Engineer Interview Questions

Practice for the Goldman Sachs Data Engineer interview with these recently asked interview questions.

Question
Topics
Difficulty
Ask Chance
Database Design
Easy
Very High
Python
R
Medium
Very High

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