
The average Johnson & Johnson Big Data Engineer in Cincinnati, OH earns an estimated $95,054 annually, which includes an estimated base salary of $86,267 with a $8,787 bonus. Johnson & Johnson's Big Data Engineer compensation is $17,449 more than the US average for a Big Data Engineer. Big Data Engineer salaries at Johnson & Johnson in Cincinnati, OH can range from $45,000 - $187,000.
In Cincinnati, OH, The Marketing Department at Johnson & Johnson earns $1,668 more on average than the Sales Department.
Last updated 6 months ago.
In Cincinnati, OH, Big Data Engineers earn $2,326 more than Event Planners, and $6,542 less than Content Strategists.
In Cincinnati, OH, The Marketing Department averages $1,668 more than the Sales Department, and $1,801 less than the Business Development Department
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.
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.
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