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The differences between data engineers and machining engineers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data engineer, becoming a machining engineer takes usually requires 4-6 years. Additionally, a machining engineer has an average salary of $123,716, which is higher than the $109,675 average annual salary of a data engineer.
The top three skills for a data engineer include python, java and cloud. The most important skills for a machining engineer are python, java, and tensorflow.
| Data Engineer | Machining Engineer | |
| Yearly salary | $109,675 | $123,716 |
| Hourly rate | $52.73 | $59.48 |
| Growth rate | 21% | 2% |
| Number of jobs | 303,105 | 93,823 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 53% |
| Average age | 39 | 41 |
| Years of experience | 4 | 6 |
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.
A machining engineer specializes in designing and developing new tools and mechanical equipment, even analyzing and improving designs to ensure efficiency. Their responsibilities revolve around overseeing and participating in installing, repairing, and maintaining different systems, coordinating with other engineers, and conducting regular inspections to monitor a machines' quality. It is also essential to address any issues or concerns, performing corrective measures right away. Furthermore, should a machining engineer work for a company, it is necessary to adhere to its policies and regulations.
Data engineers and machining engineers have different pay scales, as shown below.
| Data Engineer | Machining Engineer | |
| Average salary | $109,675 | $123,716 |
| Salary range | Between $80,000 And $149,000 | Between $83,000 And $182,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | The Citadel | Airbnb |
| Best paying industry | Technology | Start-up |
There are a few differences between a data engineer and a machining engineer in terms of educational background:
| Data Engineer | Machining Engineer | |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 53% |
| Most common major | Computer Science | Electrical Engineering |
| Most common college | California State University - Long Beach | Massachusetts Institute of Technology |
Here are the differences between data engineers' and machining engineers' demographics:
| Data Engineer | Machining Engineer | |
| Average age | 39 | 41 |
| Gender ratio | Male, 81.5% Female, 18.5% | Male, 93.5% Female, 6.5% |
| Race ratio | 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% | Black or African American, 3.4% Unknown, 4.6% Hispanic or Latino, 9.1% Asian, 14.9% White, 68.0% American Indian and Alaska Native, 0.1% |
| LGBT Percentage | 8% | 5% |