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The differences between lead building 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 lead building engineer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $82,547 average annual salary of a lead building engineer.
The top three skills for a lead building engineer include ladders, preventive maintenance and plumbing. The most important skills for a data engineer are python, java, and cloud.
| Lead Building Engineer | Data Engineer | |
| Yearly salary | $82,547 | $109,675 |
| Hourly rate | $39.69 | $52.73 |
| Growth rate | 21% | 21% |
| Number of jobs | 119,080 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 40% | Bachelor's Degree, 65% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
A Lead construction engineer supervises all construction projects, creates and regularly monitors if it's within the given date. They are responsible for providing maintenance and repair of industrial equipment, buildings, different types of machinery, vehicles, etc. They create different designs and studies to determine the most convenient and safer way of building a structure. Also, this person has other skills in the field of carpentry, plumbing, and electrical wirings. Construction Engineers are also in charge of assigning works, providing training, and reviews the work progress of their team.
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 building engineers and data engineers have different pay scales, as shown below.
| Lead Building Engineer | Data Engineer | |
| Average salary | $82,547 | $109,675 |
| Salary range | Between $55,000 And $122,000 | Between $80,000 And $149,000 |
| Highest paying City | Seattle, WA | San Francisco, CA |
| Highest paying state | Washington | California |
| Best paying company | Magic Leap | The Citadel |
| Best paying industry | Manufacturing | Technology |
There are a few differences between a lead building engineer and a data engineer in terms of educational background:
| Lead Building Engineer | Data Engineer | |
| Most common degree | Bachelor's Degree, 40% | Bachelor's Degree, 65% |
| Most common major | Business | Computer Science |
| Most common college | - | California State University - Long Beach |
Here are the differences between lead building engineers' and data engineers' demographics:
| Lead Building Engineer | Data Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 85.0% Female, 15.0% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 4.6% Unknown, 4.8% Hispanic or Latino, 8.4% Asian, 26.6% White, 55.5% 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% |