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The differences between applications & systems 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 an applications & systems engineer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $97,919 average annual salary of an applications & systems engineer.
The top three skills for an applications & systems engineer include application development, C++ and java. The most important skills for a data engineer are python, java, and cloud.
| Applications & Systems Engineer | Data Engineer | |
| Yearly salary | $97,919 | $109,675 |
| Hourly rate | $47.08 | $52.73 |
| Growth rate | 21% | 21% |
| Number of jobs | 367,806 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 71% | Bachelor's Degree, 65% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
An applications and systems engineer is an information technology (IT) expert whose responsibilities revolve around designing and developing applications and systems to optimize company operations. They typically perform internal assessments to identify company needs, evaluate existing systems and applications to determine areas needing improvements, establish testing structures, and providing solutions for different IT issues. Furthermore, as an application and systems engineer, it is essential to perform regular maintenance checks on IT systems and networks, ensuring efficiency and providing corrective measures as needed.
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.
Applications & systems engineers and data engineers have different pay scales, as shown below.
| Applications & Systems Engineer | Data Engineer | |
| Average salary | $97,919 | $109,675 |
| Salary range | Between $74,000 And $129,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | The Citadel | |
| Best paying industry | Finance | Technology |
There are a few differences between an applications & systems engineer and a data engineer in terms of educational background:
| Applications & Systems Engineer | Data Engineer | |
| Most common degree | Bachelor's Degree, 71% | Bachelor's Degree, 65% |
| Most common major | Electrical Engineering | Computer Science |
| Most common college | California State University - Long Beach | California State University - Long Beach |
Here are the differences between applications & systems engineers' and data engineers' demographics:
| Applications & Systems Engineer | Data Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 85.9% Female, 14.1% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 4.7% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 29.7% White, 52.1% 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% |