Geospatial Data Specialist — Reality Capture & Mapping

Hanson Professional Services Inc.

Houston (TX)

In loco

USD 39.000 - 55.000

Tempo pieno

4 giorni fa

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Vantaggi offerti da questo lavoro

Competitive compensation

Performance bonuses

401(k) with matching

Employee Stock Ownership Plan

Health & well-being plans

Work-life balance programs

Descrizione del lavoro

Hanson Professional Services Inc. is hiring a Geospatial Data Specialist to support processing and delivery of geospatial data for diverse projects. You will collaborate with surveyors, GIS professionals, engineers, and project teams to ensure accurate, client-ready outputs.

The role emphasizes experience with GNSS, LiDAR, UAS, reality capture, and geospatial workflows, with opportunities to advance technical skills and contribute to innovative solutions across multiple offices.

Competenze

2-5 years of experience processing geospatial, survey, reality capture, or related datasets.
Experience with large geospatial datasets and managing project file structures.
Understanding coordinate systems, map projections, datums, and geospatial accuracy requirements.
Experience performing data quality control and validation.

Mansioni

Process survey, GNSS, mobile mapping, UAS, LiDAR, imagery, and other geospatial datasets to support project delivery.
Perform quality assurance and quality control (QA/QC) reviews to ensure data accuracy, completeness, and compliance with project requirements.
Generate deliverables including point clouds, orthomosaics, DTMs/DSMs, contours, feature extractions, and mapping products.
Import, organize, manage, archive, and maintain project data and documentation.
Support survey control processing, network adjustments, coordinate system management, and workflows.
Process reality capture datasets from mobile mapping, UAS, and terrestrial scanning.
Assist project teams with data prep, analysis, feature extraction, visualization, and 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.
Stay updated on emerging geospatial technologies and trends.