Wall Street Journal Big Data Engineer Salaries in Dalton, GA
The average Wall Street Journal Big Data Engineer in Dalton, GA earns an estimated $82,542 annually, which includes an estimated base salary of $73,566 with a $8,976 bonus. Wall Street Journal's Big Data Engineer compensation is $4,937 more than the US average for a Big Data Engineer. Big Data Engineer salaries at Wall Street Journal in Dalton, GA can range from $40,000 - $155,000.
In Dalton, GA, The Marketing Department at Wall Street Journal earns $3,029 more on average than the IT Department.
Last updated a year ago.
- $73,566
- avg. base
- $8,976
- avg. bonus
Big Data Engineer Salaries at Wall Street Journal
In Dalton, GA, Big Data Engineers earn $2,701 more than Content Managers, and $1,461 less than Business Analysts.
Compensation at Wall Street Journal by Department
In Dalton, GA, The Marketing Department averages $3,029 more than the IT Department, and $5,181 less than the Sales Department
Big Data Engineer Compensation by Gender (All Companies)
The average female Big Data Engineer at companies similar size to Wall Street Journal reported making $80,995, while the average male Big Data Engineer at similar sized companies reported making $82,047.
Big Data Engineer Compensation by Ethnicity (All Companies)
The average Asian or Pacific Islander Big Data Engineer at companies similar size to Wall Street Journal reported making $89,000, while the average African American/Black Big Data Engineer at similar sized companies reported making $52,500.
How Big Data Engineers at Wall Street Journal Rate Their Compensation
The majority of Big Data Engineers at Wall Street Journal believe they're compensated fairly. 100% of Big Data Engineers at Wall Street Journal say they receive annual bonuses, and the vast majority (100%) are satisfied with their benefits. See more compensation ratings at Wall Street Journal
