Diversity is more than just a corporate buzzword. In recent years, some of the world’s most revered companies have made real commitments to improving diversity and inclusion, with tech giants such as Google, Facebook and eBay going so far as to publish diversity figures that highlight how far they’ve come and how far they still need to go.
Comparably analyzed more than 40,000 salary records to determine the best-paying technology jobs for people of varying ethnicities, along with a breakdown of each job from a gender and location standpoint.
Figures shown represent average annual compensation.
A bird’s eye view
Comparably looked at compensation for 25 of the most popular job titles in technology and analyzed each title by ethnicity. (See Chart 1.1 on next page.) The figures shaded in green represent the highest average annual compensation for a given job title; the figures shaded in red represent the lowest average annual compensation for a given job title.
Here are some of the key findings:
— Asian/Pacific Islanders command the highest salaries in nearly every job title.
— African Americans received the lowest salaries in nearly every job title.
— The breakdown of compensation for each ethnicity vs. Caucasian:
Hispanic/Latino -3.3%
African American -8.5%
Asian/Pacific Islander 7.8%
Other 3.2%
^ This should be read as follows: On average, people of Hispanic/Latino descent earn 3.25% less than Caucasians in the 25 tech titles surveyed.
The top jobs across all ethnicities are principal engineer, engineering manager and senior product manager.
Methodology
- The results were compiled from 43,204 salary records in job titles that have at least 350 overall compensation records on Comparably.com.
- Salaries reflect average annual compensation.
- People of all ages, educational backgrounds, and experience levels were included.
- Employees hail from small, mid-size, and large companies (VC-funded, privately-held, and public) as well as household brands such as Amazon, Apple, Google, Facebook, Uber, etc.
- Salary data was collected between March 2016 and October 2018.
