WSP USA Inc. salaries
Median $120,200 across 18 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$120,200
Middle 50%
$104,200–$137,700
Filings
18
- Median is 6% below the median for all IT roles ($128,000).
- Most filings are wage Level II (33%).
- Data Scientists has the most filings (7), with a median of $103,500.
Based on 18 filings. Small samples can differ from actual pay ranges.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Data Scientists | 7 | $103,500 |
| Software Developers | 7 | $151,800 |
| Software Quality Assurance Analysts and Testers | 2 | $115,500 |
| Computer Network Architects | 1 | $140,200 |
| Database Administrators | 1 | $127,000 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Baltimore-Columbia-Towson, MD | 3 | $122,000 |
| New York-Newark-Jersey City, NY-NJ | 3 | $127,000 |
| Dallas-Fort Worth-Arlington, TX | 2 | $149,500 |
| Houston-Pasadena-The Woodlands, TX | 2 | $152,800 |
| Lancaster, PA | 2 | $130,400 |
| Atlanta-Sandy Springs-Roswell, GA | 1 | $101,000 |
| Los Angeles-Long Beach-Anaheim, CA | 1 | $100,900 |
| Raleigh-Cary, NC | 1 | $118,400 |
| San Diego-Chula Vista-Carlsbad, CA | 1 | $85,300 |
| San Francisco-Oakland-Fremont, CA | 1 | $128,400 |
Level I 17%
Level II 33%
Level III 33%
Level IV 17%
Take-home pay
| Gross | $120,200 |
| Federal income tax | $17,600 |
| Social Security | $7,500 |
| Medicare | $1,700 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $92,000 |
| Take-home per month | $7,700 |
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.