Fiserv Solutions, LLC salaries
Median $124,800 across 81 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$124,800
Middle 50%
$117,000–$142,000
Filings
81
- Median is 2% below the median for all IT roles ($128,000).
- Most filings are wage Level IV (57%).
- Software Developers has the most filings (42), with a median of $135,500.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 42 | $135,500 |
| Computer Occupations, All Other | 22 | $117,300 |
| Software Quality Assurance Analysts and Testers | 8 | $117,200 |
| Database Administrators | 4 | $113,600 |
| Computer Systems Analysts | 2 | $116,000 |
| Database Architects | 2 | $164,300 |
| Data Scientists | 1 | $131,600 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| New York-Newark-Jersey City, NY-NJ | 19 | $157,100 |
| Omaha, NE-IA | 16 | $117,000 |
| Atlanta-Sandy Springs-Roswell, GA | 14 | $124,600 |
| Dallas-Fort Worth-Arlington, TX | 10 | $117,000 |
| San Jose-Sunnyvale-Santa Clara, CA | 5 | $173,500 |
| Chicago-Naperville-Elgin, IL-IN | 3 | $138,500 |
| Columbus, OH | 2 | $135,700 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 2 | $126,000 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 2 | $134,900 |
| Baltimore-Columbia-Towson, MD | 1 | $143,600 |
Level III 23%
Level IV 57%
Not stated 20%
Take-home pay
| Gross | $124,800 |
| Federal income tax | $18,700 |
| Social Security | $7,700 |
| Medicare | $1,800 |
| State income tax | $6,300 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $88,800 |
| Take-home per month | $7,400 |
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.