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Business Intelligence Engineer Ii Salary in NEW YORK, NY

Government-verified H-1B salary data from 17 certified filings

Government-Verified
$127,396
Average Salary
$127,395
Median Salary
17
Filings
5
Companies

How much do Business Intelligence Engineer Iis make in NEW YORK?

Based on 17 certified H-1B visa filings, Business Intelligence Engineer Iis in NEW YORK, NY earn an average salary of $127,396 per year. Salaries range from $76,437 to $229,312 depending on experience and employer.

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

Top Companies Hiring Business Intelligence Engineer Iis in NEW YORK

Company Avg. Salary Filings
Amazon.com Services LLC $126,496 14
AMAZON WEB SERVICES, INC. $131,593 3

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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
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
Herndon, VA
5 filings
$115,953

View all Business Intelligence Engineer Ii salaries →

Other Popular Roles in NEW YORK

Software Engineer $187K Associate $202K Vice President $198K Software Development Engineer Ii $160K Senior Software Engineer $171K Software Developer $128K Data Scientist $163K Director $204K

View all roles in NEW YORK →

Frequently Asked Questions

What is the average Business Intelligence Engineer Ii salary in NEW YORK?

The average Business Intelligence Engineer Ii salary in NEW YORK, NY is $127,396 based on 17 certified H-1B filings. The median salary is $127,395.

Which companies hire Business Intelligence Engineer Iis in NEW YORK?

Top employers hiring Business Intelligence Engineer Iis in NEW YORK include Amazon.com Services LLC, 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.