Goldman Sachs Big Data Engineer Salaries in Boulder
The average Goldman Sachs Big Data Engineer in Boulder earns an estimated $104,964 annually. Goldman Sachs' Big Data Engineer compensation is $27,358 more than the US average for a Big Data Engineer. Big Data Engineer salaries at Goldman Sachs in Boulder can range from $45,869 - $150,000.
In Boulder, The Marketing Department at Goldman Sachs earns $9,038 more on average than the Finance Department.
Last updated 8 months ago.
- $104,964
- avg. base
Big Data Engineer Salaries at Goldman Sachs
In Boulder, Big Data Engineers earn $5,555 more than Marketing Managers, and $2,036 less than Business Analysts.
Compensation at Goldman Sachs by Department
In Boulder, The Marketing Department averages $9,038 more than the Finance Department, and $1,811 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
