Data Processor salary in US West Region

Average salary
$33,500/yr
Based on 198 income tax records
$17,000
$60,000
Age:
Average salary by age
18-25
26-35
36-45
46-55
56+
 
$29K
 
$33K
 
$34K
 
$38K
 
$35K
$17,000
$60,000
How much do Data Processors make?
The average total salary for a Data Processor is $33,500 per year. This is based on data from 198 TurboTax users who reported their occupation as Data Processor and includes taxable wages, tips, bonuses, and more. Data Processor salary can vary between $17,000 to $60,000 depending on factors including education, skills, experience, employer & location. Read more
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DATA PROVIDED BY turbotax icon

Based on income reported to the IRS in box 1 of W-2.

From consenting TurboTax customers

Data Processor salary by company

Employer
Average salary per year*
Salary range**
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Engie Insight, US West Region
14 income tax records
$29,000/yr
$22K – $35K

Data Processor demographics in US West Region

single icon
64% are single
married icon
36% are married
have kids icon
30% have kids
own a home icon
38% own a home

Effective Tax Rates for Data Processors in US West Region

198 full-time salaries from 2019
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FAQS
The average salary for a data processor in US West Region is $33,500 per year. Data processor salaries in US West Region can vary between $17,000 to $60,000 and depend on various factors, including skills, experience, employer, bonuses, tips, and more.

This data is exclusive to Mint Salary and is based on 198 tax returns from TurboTax customers who reported their occupation as data processor.

The following cities offer the highest salaries for data processors in US West Region: Riverside Metro Area, CA ($40,500 a year), Phoenix Metro Area, AZ ($36,000 a year), and Los Angeles Metro Area, CA ($32,500 a year).
*
Total salary amounts here include total taxable wages, tips, prizes and other compensation. Salaries here are not representative of the total population and may reflect different levels of experience or education. Learn more
**
Total salary ranges shown here exclude outliers.