MIRACLE SOLUTIONS LLC. salaries
Median $93,600 across 17 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$93,600
Middle 50%
$88,400–$100,900
Filings
17
- Median is 27% below the median for all IT roles ($128,000).
- Most filings are wage Level I (53%).
- Software Quality Assurance Analysts and Testers has the most filings (8), with a median of $90,000.
Based on 17 filings. Small samples can differ from actual pay ranges.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Quality Assurance Analysts and Testers | 8 | $90,000 |
| Software Developers | 7 | $93,600 |
| Computer Systems Analysts | 1 | $99,800 |
| Data Scientists | 1 | $106,100 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| San Francisco-Oakland-Fremont, CA | 3 | $87,400 |
| Dallas-Fort Worth-Arlington, TX | 2 | $113,900 |
| Phoenix-Mesa-Chandler, AZ | 2 | $88,400 |
| Atlanta-Sandy Springs-Roswell, GA | 1 | $99,800 |
| Cincinnati, OH-KY-IN | 1 | $100,900 |
| Hartford-West Hartford-East Hartford, CT | 1 | $106,100 |
| Jonesboro, AR | 1 | $93,600 |
| New York-Newark-Jersey City, NY-NJ | 1 | $83,200 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1 | $93,600 |
| San Jose-Sunnyvale-Santa Clara, CA | 1 | $104,000 |
Level I 53%
Level II 41%
Level III 6%
Take-home pay
| Gross | $93,600 |
| Federal income tax | $11,800 |
| Social Security | $5,800 |
| Medicare | $1,400 |
| State income tax | $4,600 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $68,600 |
| Take-home per month | $5,700 |
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.