Goldman Sachs Big Data Engineer Salaries in Chicago
The average Goldman Sachs Big Data Engineer in Chicago earns an estimated $89,254 annually, which includes an estimated base salary of $80,154 with a $9,100 bonus. Goldman Sachs' Big Data Engineer compensation is $11,648 more than the US average for a Big Data Engineer. Big Data Engineer salaries at Goldman Sachs in Chicago can range from $54,000 - $137,500.
In Chicago, The Marketing Department at Goldman Sachs earns $437 more on average than the Business Development Department.
Last updated 5 months ago.
- $80,154
- avg. base
- $9,100
- avg. bonus
Big Data Engineer Salaries at Goldman Sachs
In Chicago, Big Data Engineers earn $5,247 more than Data Analysts, and $3,553 less than Event Planners.
Compensation at Goldman Sachs by Department
In Chicago, The Marketing Department averages $437 more than the Business Development Department, and $10,091 less than the Operations Department
Big Data Engineer Compensation by Gender (All Companies)
The average female Big Data Engineer at companies similar size to Goldman Sachs reported making $84,822, while the average male Big Data Engineer at similar sized companies reported making $95,395.
Big Data Engineer Compensation by Ethnicity (All Companies)
The average Asian or Pacific Islander Big Data Engineer at companies similar size to Goldman Sachs reported making $91,469, while the average African American/Black Big Data Engineer at similar sized companies reported making $64,333.
How Big Data Engineers at Goldman Sachs Rate Their Compensation
The majority of Big Data Engineers at Goldman Sachs believe they're compensated fairly. 93% of Big Data Engineers at Goldman Sachs say they receive annual bonuses, and the vast majority (74%) are satisfied with their benefits. See more compensation ratings at Goldman Sachs
