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The differences between software validation engineers and validation engineers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a software validation engineer and a validation engineer. Additionally, a software validation engineer has an average salary of $93,590, which is higher than the $82,004 average annual salary of a validation engineer.
The top three skills for a software validation engineer include C++, C # and python. The most important skills for a validation engineer are python, FDA, and GMP.
| Software Validation Engineer | Validation Engineer | |
| Yearly salary | $93,590 | $82,004 |
| Hourly rate | $45.00 | $39.42 |
| Growth rate | 21% | 3% |
| Number of jobs | 243,875 | 28,394 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 70% | Bachelor's Degree, 72% |
| Average age | 39 | 43 |
| Years of experience | 4 | 4 |
Software validation engineers and validation engineers have different pay scales, as shown below.
| Software Validation Engineer | Validation Engineer | |
| Average salary | $93,590 | $82,004 |
| Salary range | Between $73,000 And $119,000 | Between $62,000 And $107,000 |
| Highest paying City | Foster City, CA | Cupertino, CA |
| Highest paying state | California | California |
| Best paying company | Apple | Meta |
| Best paying industry | Health Care | Technology |
There are a few differences between a software validation engineer and a validation engineer in terms of educational background:
| Software Validation Engineer | Validation Engineer | |
| Most common degree | Bachelor's Degree, 70% | Bachelor's Degree, 72% |
| Most common major | Electrical Engineering | Electrical Engineering |
| Most common college | Harvard University | Georgia Institute of Technology |
Here are the differences between software validation engineers' and validation engineers' demographics:
| Software Validation Engineer | Validation Engineer | |
| Average age | 39 | 43 |
| Gender ratio | Male, 70.9% Female, 29.1% | Male, 78.5% Female, 21.5% |
| Race ratio | Black or African American, 4.5% Unknown, 4.8% Hispanic or Latino, 8.3% Asian, 29.9% White, 52.4% American Indian and Alaska Native, 0.2% | Black or African American, 4.1% Unknown, 4.7% Hispanic or Latino, 10.2% Asian, 22.9% White, 57.8% American Indian and Alaska Native, 0.3% |
| LGBT Percentage | 8% | 5% |