Sunlight Technologies Inc salaries
Median $102,500 across 66 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$102,500
Middle 50%
$86,500–$106,000
Filings
66
- Median is 20% below the median for all IT roles ($128,000).
- Most filings are wage Level II (64%).
- Software Developers has the most filings (49), with a median of $103,000.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 49 | $103,000 |
| Database Administrators | 9 | $86,500 |
| Data Scientists | 3 | $91,000 |
| Computer Systems Analysts | 2 | $95,800 |
| Information Security Analysts | 2 | $110,500 |
| Software Quality Assurance Analysts and Testers | 1 | $84,000 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Atlanta-Sandy Springs-Roswell, GA | 28 | $89,400 |
| Dallas-Fort Worth-Arlington, TX | 5 | $106,000 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 4 | $97,000 |
| St. Louis, MO-IL | 4 | $94,200 |
| New York-Newark-Jersey City, NY-NJ | 3 | $120,000 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 3 | $122,700 |
| Charlotte-Concord-Gastonia, NC-SC | 2 | $113,500 |
| Chicago-Naperville-Elgin, IL-IN | 2 | $85,500 |
| Boston-Cambridge-Newton, MA-NH | 1 | $98,200 |
| Cincinnati, OH-KY-IN | 1 | $78,000 |
Level I 33%
Level II 64%
Level III 3%
Take-home pay
| Gross | $102,500 |
| Federal income tax | $13,700 |
| Social Security | $6,400 |
| Medicare | $1,500 |
| State income tax | $4,700 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $74,800 |
| Take-home per month | $6,200 |
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.