ICF Incorporated, LLC salaries
Median $129,300 across 56 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$129,300
Middle 50%
$112,000–$142,300
Filings
56
- Median is 1% above the median for all IT roles ($128,000).
- Most filings are wage Level IV (21%).
- Software Developers has the most filings (38), with a median of $129,300.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 38 | $129,300 |
| Computer Occupations, All Other | 5 | $137,400 |
| Database Architects | 5 | $140,200 |
| Database Administrators | 4 | $143,400 |
| Data Scientists | 2 | $85,800 |
| Computer Systems Analysts | 1 | $116,600 |
| Software Quality Assurance Analysts and Testers | 1 | $120,300 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 20 | $128,000 |
| Austin-Round Rock-San Marcos, TX | 5 | $127,400 |
| Dallas-Fort Worth-Arlington, TX | 5 | $135,900 |
| New York-Newark-Jersey City, NY-NJ | 3 | $112,300 |
| Atlanta-Sandy Springs-Roswell, GA | 2 | $134,900 |
| Columbus, OH | 2 | $111,500 |
| Raleigh-Cary, NC | 2 | $135,700 |
| Bloomington, IL | 1 | $160,400 |
| Buffalo-Cheektowaga, NY | 1 | $96,000 |
| Charlotte-Concord-Gastonia, NC-SC | 1 | $120,300 |
Level I 18%
Level II 16%
Level III 4%
Level IV 21%
Not stated 41%
Take-home pay
| Gross | $129,300 |
| Federal income tax | $19,800 |
| Social Security | $8,000 |
| Medicare | $1,900 |
| State income tax | $8,000 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $90,200 |
| Take-home per month | $7,500 |
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.