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The differences between etl developers and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both an etl developer and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $92,419 average annual salary of an etl developer.
The top three skills for an etl developer include sql server, data warehouse and unix. The most important skills for a data scientist are python, data science, and visualization.
| ETL Developer | Data Scientist | |
| Yearly salary | $92,419 | $106,104 |
| Hourly rate | $44.43 | $51.01 |
| Growth rate | 21% | 16% |
| Number of jobs | 88,652 | 106,973 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 76% | Bachelor's Degree, 51% |
| Average age | 39 | 41 |
| Years of experience | 4 | 4 |
An ETL developer is responsible for managing data storage systems to secure the organization's data and files for daily operations efficiency. ETL developers perform multiple system testing to ensure the system's accuracy, perform coding adjustments, and troubleshoot for any defects and inconsistencies. They work closely with other development teams to design storage functions to optimize solutions. An ETL developer must have extensive knowledge of the technology industry and a strong command of programming languages to develop an accurate and operational database.
A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.
Etl developers and data scientists have different pay scales, as shown below.
| ETL Developer | Data Scientist | |
| Average salary | $92,419 | $106,104 |
| Salary range | Between $72,000 And $118,000 | Between $75,000 And $148,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | Washington | California |
| Best paying company | Meta | The Citadel |
| Best paying industry | Health Care | Start-up |
There are a few differences between an etl developer and a data scientist in terms of educational background:
| ETL Developer | Data Scientist | |
| Most common degree | Bachelor's Degree, 76% | Bachelor's Degree, 51% |
| Most common major | Computer Science | Computer Science |
| Most common college | Massachusetts Institute of Technology | Columbia University in the City of New York |
Here are the differences between etl developers' and data scientists' demographics:
| ETL Developer | Data Scientist | |
| Average age | 39 | 41 |
| Gender ratio | Male, 68.0% Female, 32.0% | Male, 79.6% Female, 20.4% |
| Race ratio | 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% | Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 8% | 9% |