
The average The Howard Hughes Medical Institute Big Data Engineer in San Francisco earns an estimated $114,049 annually, which includes an estimated base salary of $101,759 with a $12,290 bonus. The Howard Hughes Medical Institute's Big Data Engineer compensation is $36,444 more than the US average for a Big Data Engineer. Big Data Engineer salaries at The Howard Hughes Medical Institute in San Francisco can range from $80,000 - $155,000.
In San Francisco, The Marketing Department at The Howard Hughes Medical Institute earns $9,202 more on average than the Finance Department.
Last updated 2 years ago.
In San Francisco, Big Data Engineers earn $2,727 more than SEM Managers, and $2,455 less than Marketing Managers.
In San Francisco, The Marketing Department averages $9,202 more than the Finance Department, and $1,703 less than the Operations Department
The average female Big Data Engineer at companies similar size to The Howard Hughes Medical Institute reported making $80,995, while the average male Big Data Engineer at similar sized companies reported making $82,047.
The average Asian or Pacific Islander Big Data Engineer at companies similar size to The Howard Hughes Medical Institute reported making $89,000, while the average African American/Black Big Data Engineer at similar sized companies reported making $52,500.
The majority of Big Data Engineers at The Howard Hughes Medical Institute believe they're compensated fairly. The vast majority (100%) of Big Data Engineers at The Howard Hughes Medical Institute are satisfied with their benefits. See more compensation ratings at The Howard Hughes Medical Institute