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The differences between lead data technicians and data engineers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 6-12 months to become a lead data technician, becoming a data engineer takes usually requires 2-4 years. Additionally, a lead data technician has an average salary of $124,928, which is higher than the $109,675 average annual salary of a data engineer.
The top three skills for a lead data technician include python, architecture and java. The most important skills for a data engineer are python, java, and cloud.
| Lead Data Technician | Data Engineer | |
| Yearly salary | $124,928 | $109,675 |
| Hourly rate | $60.06 | $52.73 |
| Growth rate | 7% | 21% |
| Number of jobs | 83,455 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 50% | Bachelor's Degree, 65% |
| Average age | 38 | 39 |
| Years of experience | 12 | 4 |
A Lead Data Technician is responsible for supervising the data science division in developing products focused on the technology of analytics. They provide technical assistance to their team members on how they will inspect, monitor, and repair aircraft machinery and the system and the flight controls. This person is the one who performs the daily maintenance operation, resolves the troubleshooting issues as well as reporting all the log repair and maintenance activities
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.
Lead data technicians and data engineers have different pay scales, as shown below.
| Lead Data Technician | Data Engineer | |
| Average salary | $124,928 | $109,675 |
| Salary range | Between $92,000 And $169,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | Alaska | California |
| Best paying company | Meta | The Citadel |
| Best paying industry | Insurance | Technology |
There are a few differences between a lead data technician and a data engineer in terms of educational background:
| Lead Data Technician | Data Engineer | |
| Most common degree | Bachelor's Degree, 50% | Bachelor's Degree, 65% |
| Most common major | Computer Science | Computer Science |
| Most common college | Stanford University | California State University - Long Beach |
Here are the differences between lead data technicians' and data engineers' demographics:
| Lead Data Technician | Data Engineer | |
| Average age | 38 | 39 |
| Gender ratio | Male, 76.1% Female, 23.9% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 9.3% Unknown, 6.0% Hispanic or Latino, 16.5% Asian, 11.9% White, 55.2% American Indian and Alaska Native, 1.1% | 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 | 8% | 8% |