Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between senior integration engineers and data engineers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 4-6 years to become a senior integration engineer, becoming a data engineer takes usually requires 2-4 years. Additionally, a senior integration engineer has an average salary of $117,615, which is higher than the $109,675 average annual salary of a data engineer.
The top three skills for a senior integration engineer include java, python and API. The most important skills for a data engineer are python, java, and cloud.
| Senior Integration Engineer | Data Engineer | |
| Yearly salary | $117,615 | $109,675 |
| Hourly rate | $56.55 | $52.73 |
| Growth rate | 2% | 21% |
| Number of jobs | 258,950 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 68% | Bachelor's Degree, 65% |
| Average age | 41 | 39 |
| Years of experience | 6 | 4 |
As a senior integration engineer, your primary goal is to integrate the various processes within the company for its smooth functioning and to meet the business needs. You need to have a special understanding of the market segments so that you can integrate the processes of production and supply and align them with the needs of the market. You should also be able to recognize possible problems in the integration process. You must have creative skills to solve them as well.
You also need to have proper knowledge of SQL databases so that you can write them to improve the performance of the product. You should also be able to provide management support for the pending projects and provide backup for technical supports.
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.
Senior integration engineers and data engineers have different pay scales, as shown below.
| Senior Integration Engineer | Data Engineer | |
| Average salary | $117,615 | $109,675 |
| Salary range | Between $91,000 And $151,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | Anaplan | The Citadel |
| Best paying industry | Automotive | Technology |
There are a few differences between a senior integration engineer and a data engineer in terms of educational background:
| Senior Integration Engineer | Data Engineer | |
| Most common degree | Bachelor's Degree, 68% | Bachelor's Degree, 65% |
| Most common major | Electrical Engineering | Computer Science |
| Most common college | Stanford University | California State University - Long Beach |
Here are the differences between senior integration engineers' and data engineers' demographics:
| Senior Integration Engineer | Data Engineer | |
| Average age | 41 | 39 |
| Gender ratio | Male, 81.4% Female, 18.6% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 3.1% Unknown, 4.5% Hispanic or Latino, 7.8% Asian, 16.6% White, 68.0% American Indian and Alaska Native, 0.1% | 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 | 5% | 8% |