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The differences between deployment 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 deployment engineer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $100,911 average annual salary of a deployment engineer.
The top three skills for a deployment engineer include python, troubleshoot and linux. The most important skills for a data engineer are python, java, and cloud.
| Deployment Engineer | Data Engineer | |
| Yearly salary | $100,911 | $109,675 |
| Hourly rate | $48.51 | $52.73 |
| Growth rate | 21% | 21% |
| Number of jobs | 254,721 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 62% | Bachelor's Degree, 65% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
A deployment engineer specializes in designing and developing deployment systems, ensuring quality and efficiency. Typically, it is their duty to conduct research and analysis to identify the company's needs, assess existing systems to identify areas needing improvement, implementing solutions against problem areas, and developing strategies to optimize operations. They may also provide technical support to employees, spearhead training programs as required. Furthermore, as a deployment engineer, it is essential to lead and encourage the staff to reach goals while implementing the company's policies and regulations.
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.
Deployment engineers and data engineers have different pay scales, as shown below.
| Deployment Engineer | Data Engineer | |
| Average salary | $100,911 | $109,675 |
| Salary range | Between $74,000 And $136,000 | 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 deployment engineer and a data engineer in terms of educational background:
| Deployment Engineer | Data Engineer | |
| Most common degree | Bachelor's Degree, 62% | Bachelor's Degree, 65% |
| Most common major | Computer Science | Computer Science |
| Most common college | California State University - Long Beach | California State University - Long Beach |
Here are the differences between deployment engineers' and data engineers' demographics:
| Deployment Engineer | Data Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 89.8% Female, 10.2% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 4.5% Unknown, 4.8% Hispanic or Latino, 8.2% Asian, 29.9% White, 52.4% 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% |