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The differences between release 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 a release engineer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $97,777 average annual salary of a release engineer.
The top three skills for a release engineer include GIT, python and jenkins. The most important skills for a data engineer are python, java, and cloud.
| Release Engineer | Data Engineer | |
| Yearly salary | $97,777 | $109,675 |
| Hourly rate | $47.01 | $52.73 |
| Growth rate | 21% | 21% |
| Number of jobs | 257,869 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 75% | Bachelor's Degree, 65% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
Release engineers are skilled professionals who ensure that all hardware and software components are correctly working together through the use of their knowledge in coding and programming languages. To make sure that products are configured and implemented successfully, these engineers are required to work with production members, software engineers, and quality assurance (QA) professionals. They must assess the quality and risk of the new products as well as troubleshoot any issues pertaining to the software's performance. Release engineers must also organize a release schedule for a software product by using data analysis and production progress reports.
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.
Release engineers and data engineers have different pay scales, as shown below.
| Release Engineer | Data Engineer | |
| Average salary | $97,777 | $109,675 |
| Salary range | Between $73,000 And $130,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | Meta | The Citadel |
| Best paying industry | Technology | Technology |
There are a few differences between a release engineer and a data engineer in terms of educational background:
| Release Engineer | Data Engineer | |
| Most common degree | Bachelor's Degree, 75% | 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 release engineers' and data engineers' demographics:
| Release Engineer | Data Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 79.4% Female, 20.6% | 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% |