Leverage Technologies Inc salaries
Median $106,600 across 51 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$106,600
Middle 50%
$92,400–$111,700
Filings
51
- Median is 17% below the median for all IT roles ($128,000).
- Most filings are wage Level III (45%).
- Software Developers has the most filings (39), with a median of $111,100.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 39 | $111,100 |
| Computer Occupations, All Other | 7 | $91,400 |
| Data Scientists | 2 | $76,100 |
| Software Quality Assurance Analysts and Testers | 2 | $80,100 |
| Network and Computer Systems Administrators | 1 | $101,400 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Harrisburg-Carlisle, PA | 37 | $97,800 |
| Houston-Pasadena-The Woodlands, TX | 2 | $97,500 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 2 | $131,600 |
| Atlanta-Sandy Springs-Roswell, GA | 1 | $130,700 |
| Austin-Round Rock-San Marcos, TX | 1 | $108,800 |
| Baltimore-Columbia-Towson, MD | 1 | $101,400 |
| Chambersburg, PA | 1 | $93,000 |
| Dallas-Fort Worth-Arlington, TX | 1 | $112,900 |
| Hartford-West Hartford-East Hartford, CT | 1 | $126,900 |
| Minneapolis-St. Paul-Bloomington, MN-WI | 1 | $125,800 |
Level I 6%
Level II 39%
Level III 45%
Level IV 10%
Take-home pay
| Gross | $106,600 |
| Federal income tax | $14,600 |
| Social Security | $6,600 |
| Medicare | $1,500 |
| State income tax | $3,300 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $79,100 |
| Take-home per month | $6,600 |
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.