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The differences between business intelligence directors 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 business intelligence director and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $109,458 average annual salary of a business intelligence director.
The top three skills for a business intelligence director include tableau, visualization and project management. The most important skills for a data engineer are python, java, and cloud.
| Business Intelligence Director | Data Engineer | |
| Yearly salary | $109,458 | $109,675 |
| Hourly rate | $52.62 | $52.73 |
| Growth rate | 16% | 21% |
| Number of jobs | 80,857 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 72% | Bachelor's Degree, 65% |
| Average age | 44 | 39 |
| Years of experience | 4 | 4 |
Business intelligence directors and data engineers have different pay scales, as shown below.
| Business Intelligence Director | Data Engineer | |
| Average salary | $109,458 | $109,675 |
| Salary range | Between $80,000 And $148,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | JPMorgan Chase & Co. | The Citadel |
| Best paying industry | - | Technology |
There are a few differences between a business intelligence director and a data engineer in terms of educational background:
| Business Intelligence Director | Data Engineer | |
| Most common degree | Bachelor's Degree, 72% | Bachelor's Degree, 65% |
| Most common major | Business | Computer Science |
| Most common college | University of Pennsylvania | California State University - Long Beach |
Here are the differences between business intelligence directors' and data engineers' demographics:
| Business Intelligence Director | Data Engineer | |
| Average age | 44 | 39 |
| Gender ratio | Male, 79.1% Female, 20.9% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% 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 | 11% | 8% |