ISR INFO WAY, INC. salaries
Median $109,300 across 55 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$109,300
Middle 50%
$99,000–$119,400
Filings
55
- Median is 15% below the median for all IT roles ($128,000).
- Most filings are wage Level II (65%).
- Software Developers has the most filings (42), with a median of $109,300.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 42 | $109,300 |
| Computer Occupations, All Other | 7 | $103,700 |
| Data Scientists | 2 | $105,200 |
| Software Quality Assurance Analysts and Testers | 2 | $85,100 |
| Database Architects | 1 | $120,000 |
| Network and Computer Systems Administrators | 1 | $107,200 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Dallas-Fort Worth-Arlington, TX | 9 | $110,200 |
| Atlanta-Sandy Springs-Roswell, GA | 5 | $109,300 |
| Madison, WI | 4 | $100,200 |
| Louisville/Jefferson County, KY-IN | 3 | $89,000 |
| Charlotte-Concord-Gastonia, NC-SC | 2 | $123,700 |
| Chicago-Naperville-Elgin, IL-IN | 2 | $103,000 |
| Los Angeles-Long Beach-Anaheim, CA | 2 | $115,000 |
| Memphis, TN-MS-AR | 2 | $102,500 |
| Austin-Round Rock-San Marcos, TX | 1 | $114,800 |
| Baltimore-Columbia-Towson, MD | 1 | $122,000 |
Level I 5%
Level II 65%
Level III 24%
Level IV 5%
Take-home pay
| Gross | $109,300 |
| Federal income tax | $15,200 |
| Social Security | $6,800 |
| Medicare | $1,600 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $84,300 |
| Take-home per month | $7,000 |
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.