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The differences between staff interpreters and staff software 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 staff interpreter and a staff software engineer. Additionally, a staff software engineer has an average salary of $136,653, which is higher than the $43,714 average annual salary of a staff interpreter.
The top three skills for a staff interpreter include ASL, mental health and interpretation services. The most important skills for a staff software engineer are java, python, and software development.
| Staff Interpreter | Staff Software Engineer | |
| Yearly salary | $43,714 | $136,653 |
| Hourly rate | $21.02 | $65.70 |
| Growth rate | 20% | 21% |
| Number of jobs | 71,800 | 371,213 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 52% | Bachelor's Degree, 67% |
| Average age | 42 | 39 |
| Years of experience | 4 | 4 |
Staff interpreters and staff software engineers have different pay scales, as shown below.
| Staff Interpreter | Staff Software Engineer | |
| Average salary | $43,714 | $136,653 |
| Salary range | Between $26,000 And $70,000 | Between $100,000 And $186,000 |
| Highest paying City | - | San Francisco, CA |
| Highest paying state | - | Alaska |
| Best paying company | - | Airbnb |
| Best paying industry | - | Retail |
There are a few differences between a staff interpreter and a staff software engineer in terms of educational background:
| Staff Interpreter | Staff Software Engineer | |
| Most common degree | Bachelor's Degree, 52% | Bachelor's Degree, 67% |
| Most common major | American Sign Language | Computer Science |
| Most common college | Harvard University | Harvard University |
Here are the differences between staff interpreters' and staff software engineers' demographics:
| Staff Interpreter | Staff Software Engineer | |
| Average age | 42 | 39 |
| Gender ratio | Male, 24.5% Female, 75.5% | Male, 83.0% Female, 17.0% |
| Race ratio | Black or African American, 7.2% Unknown, 4.6% Hispanic or Latino, 23.7% Asian, 11.5% White, 52.8% American Indian and Alaska Native, 0.2% | Black or African American, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 33.5% White, 48.5% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 15% | 8% |