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The differences between data warehouse specialists and data 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 warehouse specialist and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $78,418 average annual salary of a data warehouse specialist.
The top three skills for a data warehouse specialist include data warehouse, ETL and data warehousing. The most important skills for a data engineer are python, java, and cloud.
| Data Warehouse Specialist | Data Engineer | |
| Yearly salary | $78,418 | $109,675 |
| Hourly rate | $37.70 | $52.73 |
| Growth rate | 9% | 21% |
| Number of jobs | 119,990 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 67% | Bachelor's Degree, 65% |
| Average age | 46 | 39 |
| Years of experience | 4 | 4 |
Data warehouse specialists and data engineers have different pay scales, as shown below.
| Data Warehouse Specialist | Data Engineer | |
| Average salary | $78,418 | $109,675 |
| Salary range | Between $61,000 And $99,000 | Between $80,000 And $149,000 |
| Highest paying City | Pleasanton, CA | San Francisco, CA |
| Highest paying state | Maryland | California |
| Best paying company | Avid | The Citadel |
| Best paying industry | Finance | Technology |
There are a few differences between a data warehouse specialist and a data engineer in terms of educational background:
| Data Warehouse Specialist | Data Engineer | |
| Most common degree | Bachelor's Degree, 67% | Bachelor's Degree, 65% |
| Most common major | Computer Science | Computer Science |
| Most common college | University of Pennsylvania | California State University - Long Beach |
Here are the differences between data warehouse specialists' and data engineers' demographics:
| Data Warehouse Specialist | Data Engineer | |
| Average age | 46 | 39 |
| Gender ratio | Male, 63.7% Female, 36.3% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 7.3% Unknown, 5.2% Hispanic or Latino, 9.0% Asian, 22.7% White, 55.4% American Indian and Alaska Native, 0.5% | Black or African American, 4.3% Unknown, 4.8% Hispanic or Latino, 8.0% Asian, 30.1% White, 52.7% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 6% | 8% |