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How Much Does Dataframe Logistics Pay in Chino, CA?

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What is the average salary for Dataframe Logistics employees in Chino, CA?

Dataframe Logistics employees in Chino, CA earn $45,000 annually on average, or $22 per hour, which is 38% lower than the national salary average of $66,000 per year. According to our data, the highest paying job at Dataframe Logistics in Chino, CA is 60,000 Network Engineer at $a annually while the lowest paying job in an at Dataframe Logistics is an Internet Support Administrator at $30,000 annually.

Average Salaries at Dataframe Logistics for Popular Roles in Chino, CA?

$60K Network Engineer Average Salary at Dataframe Logistics in Chino, CA (1 salaries)

-$10K (15%) less than national average Network Engineer salary ($70K)
+$30K (66%) more than average Dataframe Logistics salary ($30K)
$50K
$100K
$150K
+$30K (66%) more than average Dataframe Logistics salary ($30K)

$30K Internet Support Administrator Average Salary at Dataframe Logistics in Chino, CA (1 salaries)

Equal to national average Internet Support Administrator salary ($30K)
Equal to average Dataframe Logistics salary ($30K)
$50K
$100K
$150K
Equal to average Dataframe Logistics salary ($30K)

What is the highest paying job at Dataframe Logistics in Chino, CA?

IT Support Engineer is the highest paying job at Dataframe Logistics at $60,000 annually in Chino, CA.

What is the lowest paying job at Dataframe Logistics in Chino, CA?

IT Support Engineer is the lowest paying job at Dataframe Logistics at $30,000 annually in Chino, CA.

How much does Dataframe Logistics pay an hour in Chino, CA?

On an average Dataframe Logistics employees earn approximately $22 per hour in Chino, CA.

Highest Paying Companies in Chino, CA

Company Annual Average Salary
Maximum Vapor Inc$180,000
Clubspeed LLC$158,000
Skyworth$138,000
Optex America$125,000
Luna Innovations$110,000
OC Flavors, Inc$110,000
Verizon Communications$108,000
JG Construction$107,500
Caleres$105,000
Alvarado Manufacturing$102,500

Dataframe Logistics Salaries by Location

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