Charles Schwab & Company, Inc. salaries
Median $147,000 across 90 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$147,000
Middle 50%
$130,500–$160,600
Filings
90
- Median is 15% above the median for all IT roles ($128,000).
- Most filings are wage Level IV (43%).
- Software Developers has the most filings (65), with a median of $148,500.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 65 | $148,500 |
| Software Quality Assurance Analysts and Testers | 14 | $128,900 |
| Computer Occupations, All Other | 5 | $169,800 |
| Computer Network Architects | 2 | $139,200 |
| Computer Systems Analysts | 2 | $159,100 |
| Database Administrators | 1 | $157,700 |
| Information Security Analysts | 1 | $217,900 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Austin-Round Rock-San Marcos, TX | 31 | $150,000 |
| Dallas-Fort Worth-Arlington, TX | 31 | $148,300 |
| Chicago-Naperville-Elgin, IL-IN | 7 | $146,000 |
| Denver-Aurora-Centennial, CO | 7 | $144,600 |
| Ann Arbor, MI | 5 | $129,700 |
| St. Louis, MO-IL | 3 | $125,500 |
| Phoenix-Mesa-Chandler, AZ | 2 | $139,200 |
| Raleigh-Cary, NC | 2 | $124,000 |
| New York-Newark-Jersey City, NY-NJ | 1 | $200,000 |
| Orlando-Kissimmee-Sanford, FL | 1 | $153,100 |
Level I 3%
Level II 12%
Level III 41%
Level IV 43%
Take-home pay
| Gross | $147,000 |
| Federal income tax | $24,000 |
| Social Security | $9,100 |
| Medicare | $2,100 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $110,300 |
| Take-home per month | $9,200 |
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.