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Remote sensing specialist vs remote sensing engineer

The differences between remote sensing specialists and remote sensing engineers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a remote sensing specialist and a remote sensing engineer. Additionally, a remote sensing engineer has an average salary of $93,371, which is higher than the $73,410 average annual salary of a remote sensing specialist.

The top three skills for a remote sensing specialist include remote sensing, lidar and GIS. The most important skills for a remote sensing engineer are remote sensing, RF, and lidar.

Remote sensing specialist vs remote sensing engineer overview

Remote Sensing SpecialistRemote Sensing Engineer
Yearly salary$73,410$93,371
Hourly rate$35.29$44.89
Growth rate9%2%
Number of jobs25,95774,159
Job satisfaction--
Most common degreeBachelor's Degree, 59%Bachelor's Degree, 57%
Average age4040
Years of experience22

Remote sensing specialist vs remote sensing engineer salary

Remote sensing specialists and remote sensing engineers have different pay scales, as shown below.

Remote Sensing SpecialistRemote Sensing Engineer
Average salary$73,410$93,371
Salary rangeBetween $48,000 And $111,000Between $61,000 And $141,000
Highest paying City-San Francisco, CA
Highest paying state-California
Best paying company-Apple
Best paying industry-Pharmaceutical

Differences between remote sensing specialist and remote sensing engineer education

There are a few differences between a remote sensing specialist and a remote sensing engineer in terms of educational background:

Remote Sensing SpecialistRemote Sensing Engineer
Most common degreeBachelor's Degree, 59%Bachelor's Degree, 57%
Most common majorGeographyElectrical Engineering
Most common collegeUniversity of PennsylvaniaNorthwestern University

Remote sensing specialist vs remote sensing engineer demographics

Here are the differences between remote sensing specialists' and remote sensing engineers' demographics:

Remote Sensing SpecialistRemote Sensing Engineer
Average age4040
Gender ratioMale, 69.7% Female, 30.3%Male, 90.7% Female, 9.3%
Race ratioBlack or African American, 3.8% Unknown, 5.5% Hispanic or Latino, 8.8% Asian, 27.7% White, 54.1% American Indian and Alaska Native, 0.1%Black or African American, 3.0% Unknown, 5.0% Hispanic or Latino, 6.6% Asian, 28.9% White, 56.3% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between remote sensing specialist and remote sensing engineer duties and responsibilities

Remote sensing specialist example responsibilities.

  • Manage user securities, roles, database backups, restore, fail-over management for SQL cluster.
  • Provide documentation and training to analysts and technicians in the processing of various LiDAR workflows.
  • Collect and process GPS data for principal investigators and create bathymetric maps utilizing Garmin sonar equipment.
  • Conduct research and resolve outstanding payroll issues and discrepancies in accordance with appropriate union contract or university policy.
  • Experience touch panel module manufacturing: module design, laser printing, lamination, ACF bonding, packaging, etc.

Remote sensing engineer example responsibilities.

  • Manage EMC testing at outside labs and design & build specialty fixtures and interfaces.
  • Manage Jenkins security by providing specific access to authorize developers/testers using project base matrix authorization strategy.
  • Participate in field data acquisition using LIDAR capture equipment and GPS systems.
  • Maintain geospatial metadata for GIS projects.
  • Create different vector data layers for maps in ArcView and ArcMap GIS.
  • Moderate exposure to processing in mobile, terrestrial, UAS, and rotary wing applications.
  • Show more

Remote sensing specialist vs remote sensing engineer skills

Common remote sensing specialist skills
  • Remote Sensing, 28%
  • LiDAR, 18%
  • GIS, 18%
  • Python, 18%
  • Project Support, 7%
  • Technical Reports, 3%
Common remote sensing engineer skills
  • Remote Sensing, 22%
  • RF, 19%
  • LiDAR, 19%
  • Data Processing, 10%
  • Algorithm Development, 8%
  • CAD, 7%

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