NB ALPHA OMEGA LLC salaries
Median $100,300 across 29 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$100,300
Middle 50%
$91,400–$112,900
Filings
29
- Median is 22% below the median for all IT roles ($128,000).
- Most filings are wage Level II (79%).
- Software Developers has the most filings (12), with a median of $106,500.
Based on 29 filings. Small samples can differ from actual pay ranges.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 12 | $106,500 |
| Data Scientists | 7 | $97,900 |
| Computer Occupations, All Other | 4 | $121,100 |
| Software Quality Assurance Analysts and Testers | 4 | $89,200 |
| Computer Systems Analysts | 2 | $99,000 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Dallas-Fort Worth-Arlington, TX | 10 | $97,000 |
| Hartford-West Hartford-East Hartford, CT | 6 | $106,500 |
| Oklahoma City, OK | 3 | $89,000 |
| Austin-Round Rock-San Marcos, TX | 1 | $100,300 |
| Baltimore-Columbia-Towson, MD | 1 | $99,000 |
| Charlotte-Concord-Gastonia, NC-SC | 1 | $107,000 |
| Detroit-Warren-Dearborn, MI | 1 | $91,000 |
| Durham-Chapel Hill, NC | 1 | $79,900 |
| Minneapolis-St. Paul-Bloomington, MN-WI | 1 | $106,600 |
| New Haven, CT | 1 | $97,900 |
Level I 3%
Level II 79%
Level III 7%
Level IV 10%
Take-home pay
| Gross | $100,300 |
| Federal income tax | $13,200 |
| Social Security | $6,200 |
| Medicare | $1,500 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $78,000 |
| Take-home per month | $6,500 |
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.