PPD Development, L.P. salaries
Median $118,900 across 51 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$118,900
Middle 50%
$101,500–$140,000
Filings
51
- Median is 7% below the median for all IT roles ($128,000).
- Most filings are wage Level IV (37%).
- Data Scientists has the most filings (30), with a median of $118,900.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Data Scientists | 30 | $118,900 |
| Computer Occupations, All Other | 8 | $119,200 |
| Software Developers | 7 | $121,600 |
| Database Administrators | 2 | $125,000 |
| Database Architects | 2 | $164,000 |
| Network and Computer Systems Administrators | 2 | $102,200 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Raleigh-Cary, NC | 13 | $140,000 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 7 | $118,100 |
| Dallas-Fort Worth-Arlington, TX | 5 | $128,600 |
| Austin-Round Rock-San Marcos, TX | 3 | $108,800 |
| Detroit-Warren-Dearborn, MI | 2 | $121,600 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 2 | $125,500 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 2 | $119,600 |
| Atlanta-Sandy Springs-Roswell, GA | 1 | $110,100 |
| Charlotte-Concord-Gastonia, NC-SC | 1 | $121,800 |
| Chicago-Naperville-Elgin, IL-IN | 1 | $94,000 |
Level I 4%
Level II 27%
Level III 24%
Level IV 37%
Not stated 8%
Take-home pay
| Gross | $118,900 |
| Federal income tax | $17,300 |
| Social Security | $7,400 |
| Medicare | $1,700 |
| State income tax | $4,200 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $86,800 |
| Take-home per month | $7,200 |
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.