Johnson & Johnson Big Data Engineer Salaries in San Francisco
The average Johnson & Johnson Big Data Engineer in San Francisco earns an estimated $113,464 annually, which includes an estimated base salary of $98,750 with a $14,714 bonus. Johnson & Johnson's Big Data Engineer compensation is $35,859 more than the US average for a Big Data Engineer. Big Data Engineer salaries at Johnson & Johnson in San Francisco can range from $61,000 - $187,000.
In San Francisco, The Marketing Department at Johnson & Johnson earns $2,739 more on average than the HR Department.
Last updated 6 months ago.
- $98,750
- avg. base
- $14,714
- avg. bonus
Big Data Engineer Salaries at Johnson & Johnson
In San Francisco, Big Data Engineers earn $4,586 more than Data Analysts, and $7,234 less than Marketing Operations.
Compensation at Johnson & Johnson by Department
In San Francisco, The Marketing Department averages $2,739 more than the HR Department, and $292 less than the Legal 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
