Regions Bank salaries
Median $130,500 across 70 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$130,500
Middle 50%
$111,000–$150,400
Filings
70
- Median is 2% above the median for all IT roles ($128,000).
- Most filings are wage Level II (36%).
- Data Scientists has the most filings (31), with a median of $115,400.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Data Scientists | 31 | $115,400 |
| Software Developers | 24 | $142,800 |
| Computer Occupations, All Other | 4 | $137,300 |
| Database Architects | 4 | $129,200 |
| Information Security Analysts | 4 | $141,200 |
| Database Administrators | 2 | $107,400 |
| Computer Systems Analysts | 1 | $166,400 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Birmingham, AL | 35 | $135,000 |
| Dallas-Fort Worth-Arlington, TX | 8 | $125,400 |
| Atlanta-Sandy Springs-Roswell, GA | 7 | $142,600 |
| Austin-Round Rock-San Marcos, TX | 3 | $100,500 |
| Charlotte-Concord-Gastonia, NC-SC | 2 | $101,200 |
| Denver-Aurora-Centennial, CO | 2 | $115,400 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 1 | $140,800 |
| New York-Newark-Jersey City, NY-NJ | 1 | $158,100 |
| Omaha, NE-IA | 1 | $144,600 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1 | $164,200 |
Level I 6%
Level II 36%
Level III 31%
Level IV 27%
Take-home pay
| Gross | $130,500 |
| Federal income tax | $20,100 |
| Social Security | $8,100 |
| Medicare | $1,900 |
| State income tax | $6,300 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $92,800 |
| Take-home per month | $7,700 |
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.