Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between data warehousing engineers 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 warehousing engineer and a data engineer. Additionally, a data engineer has an average salary of $109,675, 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 data engineer are python, java, and cloud.
| Data Warehousing Engineer | Data Engineer | |
| Yearly salary | $94,760 | $109,675 |
| Hourly rate | $45.56 | $52.73 |
| Growth rate | 21% | 21% |
| Number of jobs | 209,466 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 69% | Bachelor's Degree, 65% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
Data warehousing engineers and data engineers have different pay scales, as shown below.
| Data Warehousing Engineer | Data Engineer | |
| Average salary | $94,760 | $109,675 |
| Salary range | Between $69,000 And $128,000 | Between $80,000 And $149,000 |
| Highest paying City | San Mateo, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | American Red Cross | The Citadel |
| Best paying industry | - | Technology |
There are a few differences between a data warehousing engineer and a data engineer in terms of educational background:
| Data Warehousing Engineer | Data Engineer | |
| Most common degree | Bachelor's Degree, 69% | 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 warehousing engineers' and data engineers' demographics:
| Data Warehousing Engineer | Data Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 66.7% Female, 33.3% | Male, 81.5% Female, 18.5% |
| 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, 4.8% Hispanic or Latino, 8.0% Asian, 30.1% White, 52.7% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 8% |