Mercury Insurance Services, LLC salaries
Median $129,100 across 52 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$129,100
Middle 50%
$120,700–$141,900
Filings
52
- Median is 1% above the median for all IT roles ($128,000).
- Most filings are wage Level IV (29%).
- Software Developers has the most filings (36), with a median of $128,300.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 36 | $128,300 |
| Database Architects | 4 | $151,300 |
| Computer Occupations, All Other | 3 | $135,200 |
| Data Scientists | 3 | $141,800 |
| Database Administrators | 3 | $129,700 |
| Software Quality Assurance Analysts and Testers | 3 | $124,100 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Los Angeles-Long Beach-Anaheim, CA | 9 | $137,000 |
| Dallas-Fort Worth-Arlington, TX | 7 | $140,200 |
| Riverside-San Bernardino-Ontario, CA | 7 | $129,700 |
| Austin-Round Rock-San Marcos, TX | 3 | $118,200 |
| Charlotte-Concord-Gastonia, NC-SC | 3 | $127,000 |
| Oklahoma City, OK | 3 | $113,800 |
| San Francisco-Oakland-Fremont, CA | 3 | $165,700 |
| Houston-Pasadena-The Woodlands, TX | 2 | $142,900 |
| Minneapolis-St. Paul-Bloomington, MN-WI | 1 | $113,100 |
| New York-Newark-Jersey City, NY-NJ | 1 | $118,100 |
Level II 10%
Level III 4%
Level IV 29%
Not stated 58%
Take-home pay
| Gross | $129,100 |
| Federal income tax | $19,700 |
| Social Security | $8,000 |
| Medicare | $1,900 |
| State income tax | $7,900 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $90,100 |
| Take-home per month | $7,500 |
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.