Saama Technologies, LLC salaries
Median $128,000 across 73 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$128,000
Middle 50%
$115,000–$140,000
Filings
73
- Median equals the median for all IT roles ($128,000).
- Most filings are wage Level III (44%).
- Computer Occupations, All Other has the most filings (42), with a median of $130,000.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Computer Occupations, All Other | 42 | $130,000 |
| Software Developers | 21 | $128,000 |
| Data Scientists | 6 | $115,000 |
| Software Quality Assurance Analysts and Testers | 2 | $105,000 |
| Database Administrators | 1 | $128,000 |
| Database Architects | 1 | $149,200 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| San Francisco-Oakland-Fremont, CA | 17 | $135,000 |
| New York-Newark-Jersey City, NY-NJ | 15 | $125,000 |
| San Jose-Sunnyvale-Santa Clara, CA | 8 | $162,500 |
| Austin-Round Rock-San Marcos, TX | 7 | $115,000 |
| Phoenix-Mesa-Chandler, AZ | 4 | $120,000 |
| Raleigh-Cary, NC | 4 | $124,900 |
| Stockton-Lodi, CA | 3 | $135,000 |
| Chicago-Naperville-Elgin, IL-IN | 2 | $97,500 |
| Columbus, OH | 1 | $120,000 |
| Dallas-Fort Worth-Arlington, TX | 1 | $130,000 |
Level I 1%
Level II 25%
Level III 44%
Level IV 8%
Not stated 22%
Take-home pay
| Gross | $128,000 |
| Federal income tax | $19,500 |
| Social Security | $7,900 |
| Medicare | $1,900 |
| State income tax | $7,800 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $89,500 |
| 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.