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The differences between devops 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 devops engineer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $104,019 average annual salary of a devops engineer.
The top three skills for a devops engineer include python, docker and java. The most important skills for a data engineer are python, java, and cloud.
| Devops Engineer | Data Engineer | |
| Yearly salary | $104,019 | $109,675 |
| Hourly rate | $50.01 | $52.73 |
| Growth rate | 21% | 21% |
| Number of jobs | 257,025 | 303,105 |
| Job satisfaction | 5 | - |
| Most common degree | Bachelor's Degree, 75% | Bachelor's Degree, 65% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
DevOps engineers are practitioners of DevOps, a software development strategy that aims to bridge the gap between computer software development and information technology (IT) operations. They work closely with computer software developers and other IT staff to manage code deployments and releases. Their duties include overseeing the IT infrastructure supporting software code in different environments, choosing a suitable deployment model, and directing testing protocol needed to validate releases. Other tasks they may likely perform include preparing test data, analyzing results, and troubleshooting issues and problems.
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.
Devops engineers and data engineers have different pay scales, as shown below.
| Devops Engineer | Data Engineer | |
| Average salary | $104,019 | $109,675 |
| Salary range | Between $80,000 And $135,000 | 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 | The Citadel |
| Best paying industry | Start-up | Technology |
There are a few differences between a devops engineer and a data engineer in terms of educational background:
| Devops 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 devops engineers' and data engineers' demographics:
| Devops Engineer | Data Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 86.2% Female, 13.8% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 29.8% White, 52.2% 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% |