LiDAR Data Processing Technician

About Us: ZenaTech (Nasdaq: ZENA | FSE: 49Q) is a technology company specializing in AI drones, Drone-as-a-Service (DaaS), enterprise SaaS, and quantum computing solutions for mission-critical business applications. Since 2017, the company has leveraged its software development expertise and expanded its drone design and manufacturing capabilities through ZenaDrone to innovate and enhance customer inspection, monitoring, safety, security, compliance, and surveying processes. Position Overview: We are seeking a skilled LiDAR Data Processing Technician to join our geospatial team. This role is responsible for processing, analyzing, and managing LiDAR datasets to support surveying, engineering, construction, and mapping projects. The ideal candidate will have strong technical expertise in point cloud processing, attention to detail, and the ability to work efficiently in a production-driven environment. Key Responsibilities: Process raw LiDAR data (LAS/LAZ files) into usable deliverables Perform point cloud classification (ground, vegetation, structures, utilities, etc.) Generate Digital Elevation Models (DEM), Digital Terrain Models (DTM), and contours Conduct quality control and quality assurance checks on LiDAR datasets Align, calibrate, and register point clouds from multiple sources Extract features such as breaklines, buildings, and infrastructure Work with aerial and mobile LiDAR systems Integrate LiDAR data with GIS and CAD platforms Troubleshoot processing issues and improve workflows Maintain organized project files and documentation - Collaborate with surveyors, engineers, and GIS professionals Qualifications: Associate’s or Bachelor’s degree in Geomatics, Surveying, GIS, or related field (preferred) 2+ years of experience processing LiDAR data Proficiency with software such as DJI Terra, Trimble Business Center, Cyclone, etc. Strong understanding of coordinate systems and geospatial concepts Experience with CAD (AutoCAD, Civil 3D) and GIS platforms Ability to interpret survey data and field notes Strong attention to detail and problem-solving skills - Ability to meet deadlines in a production environment Experience with UAV/drone LiDAR data processing (preferred) Knowledge of scripting (Python or similar) (preferred) Familiarity with photogrammetry workflows (preferred) Experience with mobile LiDAR systems (preferred) Understanding of surveying principles and workflows (preferred) Artificial Intelligence We use artificial intelligence to review and screen applications and materials. However, every candidate we move forward with is reviewed and selected, and all final hiring decisions are made by a member of our hiring team. "We are an equal opportunity employer committed to employment equity utilizing hiring practices on merit and business needs. We encourage applications from women, Indigenous peoples, persons with disabilities, members of visible minorities and all others of legally protected status."

The role involves processing and analyzing raw LiDAR datasets to create deliverables such as DEMs, DTMs, and contours. It also requires performing quality control, feature extraction, and integrating data with GIS and CAD platforms.

Candidates should have 2+ years of LiDAR processing experience and proficiency with software like DJI Terra or Trimble Business Center. A degree in Geomatics, Surveying, or GIS is preferred along with knowledge of coordinate systems.

• PythonPreferred

Identified from the job description. Confirm important requirements above.

• LiDAR Data Processing
• Point Cloud Classification
• Digital Elevation Models
• Digital Terrain Models
• DJI Terra
• Trimble Business Center
• Cyclone
• AutoCAD
• Civil 3D
• GIS
• Coordinate Systems
• UAV LiDAR
• Python
• Photogrammetry
• Mobile LiDAR
• Geomatics

• Engineering
• Data & Analytics
• Technology
• Software
• Construction

Minimum education

College diploma

Minimum experience

2+ years

Apply by

Sep 5, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Associate

Application method

Direct apply is available