LexisNexis Risk Data Management LLC salaries
Median $124,400 across 90 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$124,400
Middle 50%
$113,300–$138,900
Filings
90
- Median is 3% below the median for all IT roles ($128,000).
- Most filings are wage Level II (46%).
- Software Developers has the most filings (74), with a median of $128,600.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 74 | $128,600 |
| Data Scientists | 8 | $112,800 |
| Software Quality Assurance Analysts and Testers | 4 | $137,200 |
| Computer Occupations, All Other | 2 | $132,000 |
| Database Administrators | 1 | $108,600 |
| Information Security Analysts | 1 | $111,700 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Atlanta-Sandy Springs-Roswell, GA | 38 | $125,300 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 17 | $121,800 |
| Dallas-Fort Worth-Arlington, TX | 8 | $115,100 |
| Seattle-Tacoma-Bellevue, WA | 3 | $136,800 |
| Dayton-Kettering-Beavercreek, OH | 2 | $95,300 |
| Austin-Round Rock-San Marcos, TX | 1 | $108,000 |
| Baltimore-Columbia-Towson, MD | 1 | $156,000 |
| Chicago-Naperville-Elgin, IL-IN | 1 | $131,400 |
| Columbus, OH | 1 | $135,600 |
| Evansville, IN | 1 | $111,700 |
Level I 1%
Level II 46%
Level III 44%
Level IV 8%
Not stated 1%
Take-home pay
| Gross | $124,400 |
| Federal income tax | $18,600 |
| Social Security | $7,700 |
| Medicare | $1,800 |
| State income tax | $5,800 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $89,000 |
| Take-home per month | $7,400 |
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.