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The differences between business intelligence developers 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 developer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $92,540 average annual salary of a business intelligence developer.
The top three skills for a business intelligence developer include power bi, business intelligence and analytics. The most important skills for a data engineer are python, java, and cloud.
| Business Intelligence Developer | Data Engineer | |
| Yearly salary | $92,540 | $109,675 |
| Hourly rate | $44.49 | $52.73 |
| Growth rate | 21% | 21% |
| Number of jobs | 137,941 | 303,105 |
| Job satisfaction | 4 | - |
| Most common degree | Bachelor's Degree, 69% | Bachelor's Degree, 65% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
A business intelligence developer is primarily responsible for organizing and developing systems that will inform the company of essential data and solutions as a basis for decision-making. They are also responsible for coordinating with stakeholders and other high-ranking personnel to determine specific goals, develop models, conduct research and analysis, and gather data through various processes, ensuring accuracy and productivity. Furthermore, as a developer, it is essential to ensure that all processes adhere to the company's standards and policies.
A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise. Data engineers are responsible for establishing and maintaining an environment that permits other data functions. The necessary skills for the job include in-depth knowledge of multiple programming languages and SQL database design. Among the other skills data engineers should develop include data warehousing and architecture, data mining and modeling, and statistical regression analysis.
Business intelligence developers and data engineers have different pay scales, as shown below.
| Business Intelligence Developer | Data Engineer | |
| Average salary | $92,540 | $109,675 |
| Salary range | Between $70,000 And $121,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | Washington | California |
| Best paying company | Meta | The Citadel |
| Best paying industry | Health Care | Technology |
There are a few differences between a business intelligence developer and a data engineer in terms of educational background:
| Business Intelligence Developer | Data Engineer | |
| Most common degree | Bachelor's Degree, 69% | Bachelor's Degree, 65% |
| Most common major | Computer Science | Computer Science |
| Most common college | Massachusetts Institute of Technology | California State University - Long Beach |
Here are the differences between business intelligence developers' and data engineers' demographics:
| Business Intelligence Developer | Data Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 75.6% Female, 24.4% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 4.5% Unknown, 4.8% Hispanic or Latino, 8.3% Asian, 29.9% White, 52.3% 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% |