Amica Mutual Insurance Company salaries
Median $109,700 across 30 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$109,700
Middle 50%
$100,800–$133,700
Filings
30
- Median is 14% below the median for all IT roles ($128,000).
- Most filings are wage Level II (13%).
- Data Scientists has the most filings (10), with a median of $105,000.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Data Scientists | 10 | $105,000 |
| Software Developers | 10 | $112,400 |
| Database Administrators | 3 | $109,700 |
| Database Architects | 3 | $139,700 |
| Computer Systems Analysts | 2 | $137,700 |
| Computer Occupations, All Other | 1 | $189,200 |
| Software Quality Assurance Analysts and Testers | 1 | $90,500 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Providence-Warwick, RI-MA | 4 | $121,300 |
| Dallas-Fort Worth-Arlington, TX | 3 | $109,700 |
| Boston-Cambridge-Newton, MA-NH | 2 | $109,500 |
| Raleigh-Cary, NC | 2 | $105,000 |
| Austin-Round Rock-San Marcos, TX | 1 | $109,700 |
| Buffalo-Cheektowaga, NY | 1 | $100,700 |
| Charlotte-Concord-Gastonia, NC-SC | 1 | $167,200 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1 | $110,000 |
| Sacramento-Roseville-Folsom, CA | 1 | $109,700 |
| Syracuse, NY | 1 | $139,700 |
Level I 10%
Level II 13%
Level III 13%
Level IV 13%
Not stated 50%
Take-home pay
| Gross | $109,700 |
| Federal income tax | $15,300 |
| Social Security | $6,800 |
| Medicare | $1,600 |
| State income tax | $3,600 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $81,000 |
| 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.