The Northern Trust Company salaries
Median $144,600 across 302 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$144,600
Middle 50%
$132,200–$160,000
Filings
302
- Median is 13% above the median for all IT roles ($128,000).
- Most filings are wage Level IV (51%).
- Software Developers has the most filings (226), with a median of $144,600.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 226 | $144,600 |
| Computer Occupations, All Other | 32 | $145,800 |
| Information Security Analysts | 25 | $155,000 |
| Data Scientists | 9 | $137,800 |
| Database Administrators | 7 | $136,700 |
| Computer Network Architects | 2 | $144,100 |
| Database Architects | 1 | $136,900 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Chicago-Naperville-Elgin, IL-IN | 234 | $141,800 |
| Dallas-Fort Worth-Arlington, TX | 12 | $164,500 |
| Phoenix-Mesa-Chandler, AZ | 11 | $144,100 |
| Houston-Pasadena-The Woodlands, TX | 3 | $154,900 |
| Austin-Round Rock-San Marcos, TX | 2 | $150,000 |
| Detroit-Warren-Dearborn, MI | 2 | $131,300 |
| Stockton-Lodi, CA | 2 | $178,400 |
| Baltimore-Columbia-Towson, MD | 1 | $146,400 |
| Columbus, OH | 1 | $156,000 |
| Los Angeles-Long Beach-Anaheim, CA | 1 | $203,400 |
Level I 2%
Level II 12%
Level III 35%
Level IV 51%
Take-home pay
| Gross | $144,600 |
| Federal income tax | $23,400 |
| Social Security | $9,000 |
| Medicare | $2,100 |
| State income tax | $7,000 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $101,600 |
| Take-home per month | $8,500 |
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.