Altimetrik Corp. salaries
Median $115,200 across 161 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$115,200
Middle 50%
$105,100–$131,600
Filings
161
- Median is 10% below the median for all IT roles ($128,000).
- Most filings are wage Level II (68%).
- Software Developers has the most filings (133), with a median of $116,800.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 133 | $116,800 |
| Software Quality Assurance Analysts and Testers | 11 | $106,500 |
| Data Scientists | 8 | $108,700 |
| Computer Systems Analysts | 6 | $117,700 |
| Database Architects | 2 | $146,100 |
| Computer Occupations, All Other | 1 | $94,300 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| New York-Newark-Jersey City, NY-NJ | 28 | $123,700 |
| Austin-Round Rock-San Marcos, TX | 19 | $118,200 |
| St. Louis, MO-IL | 16 | $97,400 |
| Detroit-Warren-Dearborn, MI | 13 | $112,900 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 8 | $108,000 |
| San Jose-Sunnyvale-Santa Clara, CA | 7 | $149,400 |
| Tampa-St. Petersburg-Clearwater, FL | 7 | $89,900 |
| San Francisco-Oakland-Fremont, CA | 6 | $155,600 |
| Seattle-Tacoma-Bellevue, WA | 6 | $132,900 |
| Dallas-Fort Worth-Arlington, TX | 5 | $127,900 |
Level I 2%
Level II 68%
Level III 28%
Level IV 2%
Take-home pay
| Gross | $115,200 |
| Federal income tax | $16,500 |
| Social Security | $7,100 |
| Medicare | $1,700 |
| State income tax | $5,800 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $82,700 |
| Take-home per month | $6,900 |
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.