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The differences between integration 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 an integration developer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $102,429 average annual salary of an integration developer.
The top three skills for an integration developer include java, XML and JSON. The most important skills for a data engineer are python, java, and cloud.
| Integration Developer | Data Engineer | |
| Yearly salary | $102,429 | $109,675 |
| Hourly rate | $49.24 | $52.73 |
| Growth rate | 21% | 21% |
| Number of jobs | 92,174 | 303,105 |
| Job satisfaction | 5 | - |
| Most common degree | Bachelor's Degree, 72% | Bachelor's Degree, 65% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
An integration developer is responsible for maintaining the accuracy and efficiency of data management processes on shared databases, ensuring its safety and security to avoid unauthorized access and unusual activities. Integration developers handle a broad scope of data integration procedures, identifying data analysis solutions for data system optimization by searching for effective instruments data gathering techniques to support business functions and production operations. They also perform statistical evaluation of best-operating systems for smooth navigation and transition of data according to business needs and clients' specifications.
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.
Integration developers and data engineers have different pay scales, as shown below.
| Integration Developer | Data Engineer | |
| Average salary | $102,429 | $109,675 |
| Salary range | Between $79,000 And $132,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | Washington | California |
| Best paying company | Intuitive Surgical | The Citadel |
| Best paying industry | Retail | Technology |
There are a few differences between an integration developer and a data engineer in terms of educational background:
| Integration Developer | Data Engineer | |
| Most common degree | Bachelor's Degree, 72% | 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 integration developers' and data engineers' demographics:
| Integration Developer | Data Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 77.6% Female, 22.4% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 4.4% Unknown, 4.8% Hispanic or Latino, 8.2% Asian, 29.9% White, 52.5% 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% |