
The average McKinsey & Company Big Data Engineer in San Francisco earns an estimated $112,629 annually, which includes an estimated base salary of $97,915 with a $14,714 bonus. McKinsey & Company's Big Data Engineer compensation is $35,024 more than the US average for a Big Data Engineer. Big Data Engineer salaries at McKinsey & Company in San Francisco can range from $61,000 - $187,000.
In San Francisco, The Marketing Department at McKinsey & Company earns $3,189 more on average than the HR Department.
Last updated 6 months ago.
In San Francisco, Big Data Engineers earn $1,327 more than Copywriters, and $7,219 less than Marketing Operations.
In San Francisco, The Marketing Department averages $3,189 more than the HR Department, and $538 less than the Legal Department
The average female Big Data Engineer at companies similar size to McKinsey & Company 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 McKinsey & Company 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 McKinsey & Company believe they're compensated fairly. 75% of Big Data Engineers at McKinsey & Company say they receive annual bonuses, and the vast majority (83%) are satisfied with their benefits. See more compensation ratings at McKinsey & Company