Pacific Investment Management Company LLC salaries
Median $160,500 across 95 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$160,500
Middle 50%
$145,500–$184,800
Filings
95
- Median is 25% above the median for all IT roles ($128,000).
- Most filings are wage Level IV (46%).
- Software Developers has the most filings (70), with a median of $166,000.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 70 | $166,000 |
| Database Administrators | 9 | $145,500 |
| Computer Occupations, All Other | 6 | $159,000 |
| Computer Network Architects | 3 | $160,500 |
| Network and Computer Systems Administrators | 3 | $145,500 |
| Software Quality Assurance Analysts and Testers | 2 | $132,500 |
| Data Scientists | 1 | $192,000 |
| Information Security Analysts | 1 | $125,000 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Los Angeles-Long Beach-Anaheim, CA | 43 | $168,000 |
| Austin-Round Rock-San Marcos, TX | 30 | $168,000 |
| New York-Newark-Jersey City, NY-NJ | 6 | $160,300 |
| Dallas-Fort Worth-Arlington, TX | 3 | $145,500 |
| Raleigh-Cary, NC | 3 | $160,500 |
| San Diego-Chula Vista-Carlsbad, CA | 3 | $125,000 |
| Detroit-Warren-Dearborn, MI | 2 | $160,500 |
Level I 1%
Level II 27%
Level III 15%
Level IV 46%
Not stated 11%
Take-home pay
| Gross | $160,500 |
| Federal income tax | $27,300 |
| Social Security | $10,000 |
| Medicare | $2,300 |
| State income tax | $10,900 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $108,700 |
| Take-home per month | $9,100 |
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.