Johnson & Johnson Big Data Engineer Salaries in Boulder
The average Johnson & Johnson Big Data Engineer in Boulder earns an estimated $104,892 annually. Johnson & Johnson's Big Data Engineer compensation is $27,287 more than the US average for a Big Data Engineer. Big Data Engineer salaries at Johnson & Johnson in Boulder can range from $45,869 - $150,000.
In Boulder, The Marketing Department at Johnson & Johnson earns $1,611 more on average than the HR Department.
Last updated 6 months ago.
- $104,892
- avg. base
Big Data Engineer Salaries at Johnson & Johnson
In Boulder, Big Data Engineers earn $392 more than Marketing Associates, and $5,629 less than Marketing Operations.
Compensation at Johnson & Johnson by Department
In Boulder, The Marketing Department averages $1,611 more than the HR Department, and $3,196 less than the Design Department
Big Data Engineer Compensation by Gender (All Companies)
The average female Big Data Engineer at companies similar size to Johnson & Johnson 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 Johnson & Johnson 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 Johnson & Johnson Rate Their Compensation
The majority of Big Data Engineers at Johnson & Johnson believe they're compensated fairly. 73% of Big Data Engineers at Johnson & Johnson say they receive annual bonuses, and the vast majority (77%) are satisfied with their benefits. See more compensation ratings at Johnson & Johnson
