Goldman Sachs Big Data Engineer Salaries in Los Angeles
The average Goldman Sachs Big Data Engineer in Los Angeles earns an estimated $112,812 annually, which includes an estimated base salary of $100,479 with a $12,333 bonus. Goldman Sachs' Big Data Engineer compensation is $35,207 more than the US average for a Big Data Engineer. Big Data Engineer salaries at Goldman Sachs in Los Angeles can range from $70,000 - $138,000.
In Los Angeles, The Marketing Department at Goldman Sachs earns $1,276 more on average than the IT Department.
Last updated 8 months ago.
- $100,479
- avg. base
- $12,333
- avg. bonus
Big Data Engineer Salaries at Goldman Sachs
In Los Angeles, Big Data Engineers earn $2,162 more than Marketing Operations, and $32,078 less than Senior Marketing Managers.
Compensation at Goldman Sachs by Department
In Los Angeles, The Marketing Department averages $1,276 more than the IT Department, and $8,801 less than the Sales 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
