CSC Covansys Corporation salaries
Median $108,700 across 109 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$108,700
Middle 50%
$98,600–$117,400
Filings
109
- Median is 15% below the median for all IT roles ($128,000).
- Most filings are wage Level II (33%).
- Software Developers has the most filings (72), with a median of $107,500.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 72 | $107,500 |
| Computer Occupations, All Other | 25 | $112,600 |
| Data Scientists | 4 | $103,100 |
| Software Quality Assurance Analysts and Testers | 4 | $85,000 |
| Database Administrators | 2 | $119,700 |
| Network and Computer Systems Administrators | 2 | $116,700 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| New York-Newark-Jersey City, NY-NJ | 11 | $127,400 |
| Detroit-Warren-Dearborn, MI | 9 | $106,100 |
| Bloomington, IL | 8 | $103,900 |
| Cleveland, OH | 8 | $102,300 |
| Dallas-Fort Worth-Arlington, TX | 7 | $112,900 |
| Houston-Pasadena-The Woodlands, TX | 7 | $108,200 |
| St. Louis, MO-IL | 6 | $117,400 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 5 | $104,900 |
| Chicago-Naperville-Elgin, IL-IN | 4 | $103,800 |
| Los Angeles-Long Beach-Anaheim, CA | 4 | $110,800 |
Level II 33%
Level III 15%
Level IV 11%
Not stated 41%
Take-home pay
| Gross | $108,700 |
| Federal income tax | $15,100 |
| Social Security | $6,700 |
| Medicare | $1,600 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $83,900 |
| Take-home per month | $7,000 |
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.