FedEx Corporate Services, Inc. salaries
Median $113,600 across 72 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$113,600
Middle 50%
$103,400–$122,800
Filings
72
- Median is 11% below the median for all IT roles ($128,000).
- Most filings are wage Level III (61%).
- Software Developers has the most filings (36), with a median of $113,600.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 36 | $113,600 |
| Computer Occupations, All Other | 15 | $129,900 |
| Data Scientists | 15 | $103,700 |
| Information Security Analysts | 3 | $121,700 |
| Database Administrators | 2 | $107,300 |
| Network and Computer Systems Administrators | 1 | $93,600 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Memphis, TN-MS-AR | 38 | $111,600 |
| Dallas-Fort Worth-Arlington, TX | 10 | $122,700 |
| Orlando-Kissimmee-Sanford, FL | 5 | $114,400 |
| Charlotte-Concord-Gastonia, NC-SC | 3 | $104,400 |
| Colorado Springs, CO | 3 | $113,500 |
| Nashville-Davidson--Murfreesboro--Franklin, TN | 2 | $109,400 |
| Phoenix-Mesa-Chandler, AZ | 2 | $126,600 |
| Pittsburgh, PA | 2 | $120,500 |
| San Jose-Sunnyvale-Santa Clara, CA | 2 | $127,100 |
| Atlanta-Sandy Springs-Roswell, GA | 1 | $93,300 |
Level II 14%
Level III 61%
Level IV 10%
Not stated 15%
Take-home pay
| Gross | $113,600 |
| Federal income tax | $16,200 |
| Social Security | $7,000 |
| Medicare | $1,600 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $87,300 |
| Take-home per month | $7,300 |
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.