Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between management 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 management engineer, becoming a data engineer takes usually requires 2-4 years. Additionally, a data engineer has an average salary of $109,675, which is higher than the $90,571 average annual salary of a management engineer.
The top three skills for a management engineer include infrastructure, java and linux. The most important skills for a data engineer are python, java, and cloud.
| Management Engineer | Data Engineer | |
| Yearly salary | $90,571 | $109,675 |
| Hourly rate | $43.54 | $52.73 |
| Growth rate | 2% | 21% |
| Number of jobs | 175,986 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 69% | Bachelor's Degree, 65% |
| Average age | 41 | 39 |
| Years of experience | 6 | 4 |
A management engineer specializes in designing and developing systems to optimize business or establishment procedures. Their duties typically revolve around coordinating with various departments to obtain necessary data, conducting observations and inspections to determine the strengths and weaknesses of existing processes, executing maintenance checks to ensure the efficiency of services, and performing research and analysis to come up with the ideal solutions. Furthermore, as a management engineer, it is essential to adhere to the company's policies and regulations when making decisions or recommending new systems.
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.
Management engineers and data engineers have different pay scales, as shown below.
| Management Engineer | Data Engineer | |
| Average salary | $90,571 | $109,675 |
| Salary range | Between $65,000 And $125,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | Apple | The Citadel |
| Best paying industry | Technology | Technology |
There are a few differences between a management engineer and a data engineer in terms of educational background:
| Management Engineer | Data Engineer | |
| Most common degree | Bachelor's Degree, 69% | Bachelor's Degree, 65% |
| Most common major | Mechanical Engineering | Computer Science |
| Most common college | Northwestern University | California State University - Long Beach |
Here are the differences between management engineers' and data engineers' demographics:
| Management Engineer | Data Engineer | |
| Average age | 41 | 39 |
| Gender ratio | Male, 81.2% Female, 18.8% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 3.3% Unknown, 4.6% Hispanic or Latino, 9.0% Asian, 14.9% White, 68.1% 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% |