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The differences between geospatial 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 geospatial engineer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $92,650 average annual salary of a geospatial engineer.
The top three skills for a geospatial engineer include disaster relief, intelligence data and digital data. The most important skills for a data engineer are python, java, and cloud.
| Geospatial Engineer | Data Engineer | |
| Yearly salary | $92,650 | $109,675 |
| Hourly rate | $44.54 | $52.73 |
| Growth rate | 21% | 21% |
| Number of jobs | 178,326 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 53% | Bachelor's Degree, 65% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
Geospatial engineers are known to be recent additions to the engineering family. Their tasks include producing up to date plans, computer-based measuring to map the best position, and providing control point to monitor the future movements of structures like a bridge. They specialize in photogrammetry and remote sensing. They perform basic geographic information systems on navigational data and coastal areas, collect and organize digital features in the geospatial database, and provide imagery and geospatial products to support multiple joint military operations.
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.
Geospatial engineers and data engineers have different pay scales, as shown below.
| Geospatial Engineer | Data Engineer | |
| Average salary | $92,650 | $109,675 |
| Salary range | Between $64,000 And $132,000 | Between $80,000 And $149,000 |
| Highest paying City | - | San Francisco, CA |
| Highest paying state | - | California |
| Best paying company | - | The Citadel |
| Best paying industry | - | Technology |
There are a few differences between a geospatial engineer and a data engineer in terms of educational background:
| Geospatial Engineer | Data Engineer | |
| Most common degree | Bachelor's Degree, 53% | Bachelor's Degree, 65% |
| Most common major | Geography | Computer Science |
| Most common college | Dartmouth College | California State University - Long Beach |
Here are the differences between geospatial engineers' and data engineers' demographics:
| Geospatial Engineer | Data Engineer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 82.1% Female, 17.9% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 4.5% Unknown, 4.8% Hispanic or Latino, 8.2% Asian, 26.2% White, 56.1% 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% |