New York Technology Partners, Inc. salaries
Median $94,800 across 92 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$94,800
Middle 50%
$90,000–$106,800
Filings
92
- Median is 26% below the median for all IT roles ($128,000).
- Most filings are wage Level II (91%).
- Computer Occupations, All Other has the most filings (58), with a median of $90,300.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Computer Occupations, All Other | 58 | $90,300 |
| Software Developers | 16 | $112,900 |
| Database Administrators | 9 | $101,200 |
| Data Scientists | 5 | $109,500 |
| Computer Systems Analysts | 3 | $97,000 |
| Database Architects | 1 | $117,000 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| New York-Newark-Jersey City, NY-NJ | 30 | $92,000 |
| Dallas-Fort Worth-Arlington, TX | 16 | $99,500 |
| Atlanta-Sandy Springs-Roswell, GA | 5 | $100,000 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 4 | $112,500 |
| Phoenix-Mesa-Chandler, AZ | 4 | $90,300 |
| Chicago-Naperville-Elgin, IL-IN | 3 | $86,500 |
| Houston-Pasadena-The Woodlands, TX | 3 | $96,000 |
| Austin-Round Rock-San Marcos, TX | 2 | $92,200 |
| Charlotte-Concord-Gastonia, NC-SC | 2 | $85,000 |
| Trenton-Princeton, NJ | 2 | $90,500 |
Level II 91%
Level III 7%
Level IV 2%
Take-home pay
| Gross | $94,800 |
| Federal income tax | $12,000 |
| Social Security | $5,900 |
| Medicare | $1,400 |
| State income tax | $4,600 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $69,500 |
| Take-home per month | $5,800 |
Tax year 2026, single filer.
Local taxes, 401(k), and filing status other than single are not included.
Tax rates checked against IRS, Tax Foundation, and other original sources on Oct 28, 2026.
This is an estimate. Actual taxes depend on your situation. Consult a tax professional before filing.
LCA filings are not hires.
Filed wages are offered base pay, not total compensation.
We did not independently verify the source files. Deduplication and filtering can cause differences from the original data.