Boomi L.P. salaries
Median $161,900 across 63 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$161,900
Middle 50%
$130,700–$179,900
Filings
63
- Median is 26% above the median for all IT roles ($128,000).
- Most filings are wage Level III (43%).
- Software Developers has the most filings (45), with a median of $161,900.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 45 | $161,900 |
| Software Quality Assurance Analysts and Testers | 7 | $132,400 |
| Computer Systems Analysts | 5 | $139,700 |
| Computer Occupations, All Other | 2 | $215,500 |
| Data Scientists | 2 | $184,000 |
| Database Administrators | 2 | $194,600 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 38 | $153,900 |
| Dallas-Fort Worth-Arlington, TX | 6 | $128,000 |
| Austin-Round Rock-San Marcos, TX | 3 | $170,100 |
| San Francisco-Oakland-Fremont, CA | 3 | $190,100 |
| Chicago-Naperville-Elgin, IL-IN | 2 | $187,900 |
| Houston-Pasadena-The Woodlands, TX | 2 | $142,200 |
| Raleigh-Cary, NC | 2 | $147,400 |
| San Jose-Sunnyvale-Santa Clara, CA | 2 | $194,800 |
| Portland-Vancouver-Hillsboro, OR-WA | 1 | $170,000 |
| Sacramento-Roseville-Folsom, CA | 1 | $224,700 |
Level II 24%
Level III 43%
Level IV 30%
Not stated 3%
Take-home pay
| Gross | $161,900 |
| Federal income tax | $27,600 |
| Social Security | $10,000 |
| Medicare | $2,300 |
| State income tax | $5,000 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $115,500 |
| Take-home per month | $9,600 |
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.