Goldman Sachs Big Data Engineer Salaries in Lansing, MI
The average Goldman Sachs Big Data Engineer in Lansing, MI earns an estimated $95,113 annually, which includes an estimated base salary of $86,325 with a $8,787 bonus. Goldman Sachs' Big Data Engineer compensation is $17,507 more than the US average for a Big Data Engineer. Big Data Engineer salaries at Goldman Sachs in Lansing, MI can range from $45,000 - $187,000.
In Lansing, MI, The Marketing Department at Goldman Sachs earns $1,047 more on average than the Design Department.
Last updated 5 months ago.
- $86,325
- avg. base
- $8,787
- avg. bonus
Big Data Engineer Salaries at Goldman Sachs
In Lansing, MI, Big Data Engineers earn $2,306 more than Event Planners, and $6,204 less than Content Strategists.
Compensation at Goldman Sachs by Department
In Lansing, MI, The Marketing Department averages $1,047 more than the Design Department, and $467 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
