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The differences between bioinformatics developers and etl developers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a bioinformatics developer and an etl developer. Additionally, an etl developer has an average salary of $92,419, which is higher than the $86,993 average annual salary of a bioinformatics developer.
The top three skills for a bioinformatics developer include python, java and next-generation sequencing. The most important skills for an etl developer are sql server, data warehouse, and unix.
| Bioinformatics Developer | ETL Developer | |
| Yearly salary | $86,993 | $92,419 |
| Hourly rate | $41.82 | $44.43 |
| Growth rate | 21% | 21% |
| Number of jobs | 83,646 | 88,652 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 76% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
Bioinformatics developers and etl developers have different pay scales, as shown below.
| Bioinformatics Developer | ETL Developer | |
| Average salary | $86,993 | $92,419 |
| Salary range | Between $66,000 And $113,000 | Between $72,000 And $118,000 |
| Highest paying City | South San Francisco, CA | San Francisco, CA |
| Highest paying state | Oregon | Washington |
| Best paying company | Merck | Meta |
| Best paying industry | - | Health Care |
There are a few differences between a bioinformatics developer and an etl developer in terms of educational background:
| Bioinformatics Developer | ETL Developer | |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 76% |
| Most common major | Computer Science | Computer Science |
| Most common college | Massachusetts Institute of Technology | Massachusetts Institute of Technology |
Here are the differences between bioinformatics developers' and etl developers' demographics:
| Bioinformatics Developer | ETL Developer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 88.5% Female, 11.5% | Male, 68.0% Female, 32.0% |
| Race ratio | Black or African American, 2.9% Unknown, 4.3% Hispanic or Latino, 6.4% Asian, 31.3% White, 55.0% American Indian and Alaska Native, 0.2% | Black or African American, 4.3% Unknown, 4.7% Hispanic or Latino, 8.0% Asian, 35.2% White, 47.7% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 8% |