Goldman Sachs Big Data Engineer Salary
The average Goldman Sachs Big Data Engineer earns an estimated $74,576 annually, which includes an estimated base salary of $69,701 with a $4,875 bonus. Goldman Sachs' Big Data Engineer compensation is $3,029 less than the US average for a Big Data Engineer. Big Data Engineer salaries at Goldman Sachs can range from $45,000 - $95,000.
The Marketing Department at Goldman Sachs earns $4,783 more on average than the IT Department.
Last updated 5 months ago.
- $69,701
- avg. base
- $4,875
- avg. bonus
Big Data Engineer Salaries at Goldman Sachs
Big Data Engineers earn $3 more than Community Managers, and $663 less than SEO Specialists.
Compensation at Goldman Sachs by Department
The Marketing Department averages $4,783 more than the IT Department, and $547 less than the Business Development 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
