SAGE IT INC salaries
Median $103,200 across 315 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$103,200
Middle 50%
$90,900–$112,200
Filings
315
- Median is 19% below the median for all IT roles ($128,000).
- Most filings are wage Level II (73%).
- Software Developers has the most filings (248), with a median of $106,000.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 248 | $106,000 |
| Data Scientists | 46 | $95,300 |
| Computer Occupations, All Other | 12 | $93,000 |
| Software Quality Assurance Analysts and Testers | 5 | $85,000 |
| Network and Computer Systems Administrators | 2 | $84,700 |
| Computer Systems Analysts | 1 | $98,900 |
| Database Administrators | 1 | $79,900 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Dallas-Fort Worth-Arlington, TX | 132 | $106,000 |
| Charlotte-Concord-Gastonia, NC-SC | 21 | $112,400 |
| Phoenix-Mesa-Chandler, AZ | 21 | $106,000 |
| Atlanta-Sandy Springs-Roswell, GA | 13 | $102,900 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 11 | $100,100 |
| New York-Newark-Jersey City, NY-NJ | 8 | $103,300 |
| Austin-Round Rock-San Marcos, TX | 6 | $108,800 |
| Chicago-Naperville-Elgin, IL-IN | 6 | $95,500 |
| Trenton-Princeton, NJ | 6 | $108,600 |
| Memphis, TN-MS-AR | 5 | $95,700 |
Level I 21%
Level II 73%
Level III 5%
Level IV 1%
Take-home pay
| Gross | $103,200 |
| Federal income tax | $13,900 |
| Social Security | $6,400 |
| Medicare | $1,500 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $80,000 |
| Take-home per month | $6,700 |
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.