LiDAR Specialist - LiDAR, GIS, ArcGis

Strider
Strider

Barbados · Mexico · Dominica · Dominican Republic · Haiti · Jamaica · South America · Central America · Cuba · Antigua and Barbuda · The Bahamas · Belize · Guyana · Grenada · St Kitts & Nevis · St Vincent and the Grenadines · Suriname · St Lucia · Trinidad and Tobago · Remote

Posted on Aug 6, 2026

Requirements

Must-haves

  • 1+ years of professional experience
  • LiDAR experience
  • Experience working with terrestrial (ground-based) LiDAR data
  • Familiarity with geospatial surveys
  • Experience with GIS (e.g., ArcGIS Pro, ArcGIS, QGIS)
  • Ability to validate spatial datasets with strong attention to detail
  • Deep knowledge of geospatial data concepts and coordinate systems
  • Bachelor's degree in Geography, Geospatial Sciences, GIS, Civil Engineering, Computer Science, or equivalent
  • Strong communication skills in both spoken and written English

Nice-to-haves

  • Startup experience
  • Experience with Python scripting and SQL
  • Experience supporting transportation, roadway, infrastructure, utilities, or smart city projects
  • Experience with digital twins or geospatial databases
  • Background in transportation, smart cities, civil engineering, roadway infrastructure, utilities, geospatial technology, GIS consulting, or mapping technology

What you will work on

  • Process and analyze LiDAR datasets captured on roadway scanning projects
  • Build and validate high-precision geospatial surveys that underpin the client's digital twin platform
  • Create the foundational geospatial datasets that power the platform
  • Manage geospatial data in GIS software (e.g., ArcGIS Pro, ArcGIS, QGIS)
  • Validate, process, and analyze LiDAR and GIS data to build digital representations of roadway infrastructure for new transportation clients
  • Support the integration of LiDAR data with transportation datasets (e.g., crash data, roadway information)
  • Safeguard geospatial data quality, consistency, and accuracy
  • Apply Python or SQL to support data processing and automation
  • Partner with data engineers and product teams throughout customer onboarding
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