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Business Intelligence Engineer Ii Salary in Herndon, VA

Government-verified H-1B salary data from 5 certified filings

Government-Verified
$115,953
Average Salary
$115,953
Median Salary
5
Filings
1
Companies

How much do Business Intelligence Engineer Iis make in Herndon?

Based on 5 certified H-1B visa filings, Business Intelligence Engineer Iis in Herndon, VA earn an average salary of $115,953 per year. Salaries range from $69,571 to $208,715 depending on experience and employer.

Source: US Department of Labor LCA Disclosure Data, Q1 FY2025

Top Companies Hiring Business Intelligence Engineer Iis in Herndon

Company Avg. Salary Filings
AMAZON WEB SERVICES, INC. $117,257 4

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Business Intelligence Engineer Ii Salaries in Other Cities

SEATTLE, WA
44 filings
$119,623
BELLEVUE, WA
29 filings
$131,608
AUSTIN, TX
24 filings
$125,268
NEW YORK, NY
17 filings
$127,396
SUNNYVALE, CA
12 filings
$152,495
ARLINGTON, VA
11 filings
$121,755
DALLAS, TX
9 filings
$121,794
SANTA CLARA, CA
7 filings
$144,549

View all Business Intelligence Engineer Ii salaries →

Other Popular Roles in Herndon

Software Developer $113K Software Engineer $123K Software Development Engineer Ii $151K Support Engineer I-External $100K Software Development Engineer I $112K Data Center Infrastructure Engineer Ii $138K Enterprise Act Engineer Ii $148K Technical Operations Engineer Ii $125K

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Frequently Asked Questions

What is the average Business Intelligence Engineer Ii salary in Herndon?

The average Business Intelligence Engineer Ii salary in Herndon, VA is $115,953 based on 5 certified H-1B filings. The median salary is $115,953.

Which companies hire Business Intelligence Engineer Iis in Herndon?

Top employers hiring Business Intelligence Engineer Iis in Herndon include AMAZON WEB SERVICES, INC.. These companies have filed H-1B visa applications for this role in this location.

How accurate is this salary data?

This data comes from official US Department of Labor Labor Condition Application (LCA) filings. Companies are legally required to report accurate salary information—providing false information constitutes federal fraud. This makes our data more reliable than self-reported salary surveys.