Johnson & Johnson Big Data Engineer Salaries in Los Angeles
The average Johnson & Johnson Big Data Engineer in Los Angeles earns an estimated $112,744 annually, which includes an estimated base salary of $100,411 with a $12,333 bonus. Johnson & Johnson's Big Data Engineer compensation is $35,139 more than the US average for a Big Data Engineer. Big Data Engineer salaries at Johnson & Johnson in Los Angeles can range from $70,000 - $138,000.
In Los Angeles, The Marketing Department at Johnson & Johnson earns $15,070 more on average than the Operations Department.
Last updated 6 months ago.
- $100,411
- avg. base
- $12,333
- avg. bonus
Big Data Engineer Salaries at Johnson & Johnson
In Los Angeles, Big Data Engineers earn $2,223 more than Marketing Operations, and $33,256 less than Marketing Managers.
Compensation at Johnson & Johnson by Department
In Los Angeles, The Marketing Department averages $15,070 more than the Operations Department, and $423 less than the IT 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
