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The differences between data technicians and sounding device operators can be seen in a few details. Each job has different responsibilities and duties. It typically takes 6-12 months to become both a data technician and a sounding device operator. Additionally, a data technician has an average salary of $41,834, which is higher than the $34,862 average annual salary of a sounding device operator.
The top three skills for a data technician include data entry, java and data management. The most important skills for a sounding device operator are clean room environment, GMP, and catheter.
| Data Technician | Sounding Device Operator | |
| Yearly salary | $41,834 | $34,862 |
| Hourly rate | $20.11 | $16.76 |
| Growth rate | 7% | 7% |
| Number of jobs | 101,074 | 36,805 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 45% | Bachelor's Degree, 41% |
| Average age | 38 | 38 |
| Years of experience | 12 | 12 |
Data technicians and sounding device operators have different pay scales, as shown below.
| Data Technician | Sounding Device Operator | |
| Average salary | $41,834 | $34,862 |
| Salary range | Between $25,000 And $68,000 | Between $25,000 And $47,000 |
| Highest paying City | Santa Clara, CA | - |
| Highest paying state | California | - |
| Best paying company | Citi | - |
| Best paying industry | Energy | - |
There are a few differences between a data technician and a sounding device operator in terms of educational background:
| Data Technician | Sounding Device Operator | |
| Most common degree | Bachelor's Degree, 45% | Bachelor's Degree, 41% |
| Most common major | Business | Business |
| Most common college | Stanford University | Stanford University |
Here are the differences between data technicians' and sounding device operators' demographics:
| Data Technician | Sounding Device Operator | |
| Average age | 38 | 38 |
| Gender ratio | Male, 61.2% Female, 38.8% | Male, 61.0% Female, 39.0% |
| Race ratio | Black or African American, 9.6% Unknown, 5.7% Hispanic or Latino, 16.9% Asian, 10.5% White, 56.4% American Indian and Alaska Native, 1.0% | Black or African American, 6.6% Unknown, 5.8% Hispanic or Latino, 17.9% Asian, 10.7% White, 58.0% American Indian and Alaska Native, 1.0% |
| LGBT Percentage | 8% | 8% |