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The differences between data warehousing engineers 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 data warehousing engineer and a staff software engineer. Additionally, a staff software engineer has an average salary of $136,653, which is higher than the $94,760 average annual salary of a data warehousing engineer.
The top three skills for a data warehousing engineer include data warehousing, data warehouse and data models. The most important skills for a staff software engineer are java, python, and software development.
| Data Warehousing Engineer | Staff Software Engineer | |
| Yearly salary | $94,760 | $136,653 |
| Hourly rate | $45.56 | $65.70 |
| Growth rate | 21% | 21% |
| Number of jobs | 209,466 | 371,213 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 69% | Bachelor's Degree, 67% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
Data warehousing engineers and staff software engineers have different pay scales, as shown below.
| Data Warehousing Engineer | Staff Software Engineer | |
| Average salary | $94,760 | $136,653 |
| Salary range | Between $69,000 And $128,000 | Between $100,000 And $186,000 |
| Highest paying City | San Mateo, CA | San Francisco, CA |
| Highest paying state | California | Alaska |
| Best paying company | American Red Cross | Airbnb |
| Best paying industry | - | Retail |
There are a few differences between a data warehousing engineer and a staff software engineer in terms of educational background:
| Data Warehousing Engineer | Staff Software Engineer | |
| Most common degree | Bachelor's Degree, 69% | Bachelor's Degree, 67% |
| Most common major | Computer Science | Computer Science |
| Most common college | University of Pennsylvania | Harvard University |
Here are the differences between data warehousing engineers' and staff software engineers' demographics:
| Data Warehousing Engineer | Staff Software Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 66.7% Female, 33.3% | Male, 83.0% Female, 17.0% |
| 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, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 33.5% White, 48.5% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 8% |