Geospatial Data Technician

Hanson Professional Services Inc.•Houston, TX

2d•$28 - $40

About The Position

Hanson Professional Services Inc. is seeking a geospatial professional to support the collection, processing, management, and delivery of geospatial data for transportation, aviation, government, industrial, power, railway, and infrastructure projects. The role converts raw survey, mobile mapping, UAS, LiDAR, imagery, and GIS data into accurate, reliable, client-ready deliverables in coordination with surveyors, engineers, GIS professionals, technicians, project managers, and field personnel. The position works with reality capture, mobile mapping systems, unmanned aerial systems, photogrammetry, LiDAR, GIS, and survey processing software, while helping expand Hanson’s geospatial service capabilities. It may be based in St. Charles/St. Louis, Missouri; Springfield, Illinois; Corpus Christi, Texas; Jacksonville, Florida; or another Hanson office location as business needs dictate. Occasional travel may be required for training, project support, field verification, equipment testing, or client meetings. A valid driver’s license is required, and additional hours may be needed to meet project schedules and client commitments.

Requirements

2–5 years of experience processing geospatial, survey, reality capture, or related datasets.
Experience working with large geospatial datasets and managing project file structures.
Understanding of coordinate systems, map projections, datums, and geospatial accuracy requirements.
Experience performing data quality control and validation.
Strong organizational, analytical, and problem-solving skills.
Ability to manage multiple assignments and meet project deadlines.
Valid driver’s license.
Ability to collaborate effectively with team members across multiple Hanson office locations.
Ability to work additional hours as needed to meet project schedules and client commitments.

Nice To Haves

Associate’s or bachelor’s degree in Geomatics, Surveying, GIS, Geography, Engineering Technology, Remote Sensing, Photogrammetry, or a related field.
Experience processing mobile mapping or LiDAR datasets.
Experience processing UAS imagery and photogrammetric deliverables.
Experience supporting land surveying, transportation, utility, aviation, or infrastructure projects.
Experience with reality capture and digital twin workflows.
Experience with GIS platforms and geospatial data management.
Basic scripting or automation experience using Python or similar tools.
Experience with Trimble Business Center (TBC), Trimble MX60 or similar mobile mapping systems, TopoDOT, Pix4D, or DJI Terra.
Experience with AutoCAD Civil 3D, Bentley OpenRail Designer (ORD) and OpenRoads Designer (ORD), ArcGIS Pro, LiDAR and point cloud processing software, GNSS processing software and workflows, photogrammetry software, Microsoft Office Suite, Python scripting and workflow automation, or data management and file organization standards.
Occasional travel for training, project support, field verification, equipment testing, or client meetings may be required.

Responsibilities

Process survey, GNSS, mobile mapping, UAS, LiDAR, imagery, and other geospatial datasets to support project delivery.
Perform QA/QC reviews to ensure data accuracy, completeness, and compliance with project requirements.
Generate point clouds, orthomosaics, digital terrain models, digital surface models, contours, feature extractions, and mapping products.
Import, organize, manage, archive, and maintain project data and associated documentation.
Support survey control processing, network adjustments, coordinate system management, and geospatial data integration workflows.
Process and manage reality capture datasets acquired through mobile mapping systems, UAS platforms, and terrestrial scanning technologies.
Assist project teams with data preparation, analysis, feature extraction, visualization, and geospatial deliverable development.
Develop and maintain standardized processing workflows, templates, and best practices.
Troubleshoot data quality, processing, and software-related issues.
Collaborate with multidisciplinary teams to improve geospatial workflows and operational efficiency.
Maintain awareness of emerging geospatial technologies, software, and industry trends.