Jr. LiDAR Analyst

Junior LiDAR Analyst

Employment Type: Contract | Duration: October 2026 – May 2027

Can report into: Lafayette, LA, Frederick, MD, or Norfolk, VA

Do you have the right skills and experience for this role Read on to find out, and make your application.

About the Role

We are seeking a detail-oriented and motivated Junior LiDAR Analyst to join our geospatial production team. This entry-level position plays an important role in the processing, classification, and quality assurance of airborne LiDAR datasets supporting large-scale mapping initiatives across a variety of markets including infrastructure, environmental, and government sectors.

Working alongside experienced geospatial professionals, the selected candidate will contribute to the production of accurate, client-ready deliverables by following established workflows and maintaining high standards of data quality. This role is an excellent opportunity for candidates looking to build a career in geospatial production and gain hands-on experience with real-world LiDAR datasets.

What You'll Do

Point Cloud Processing

• Execute LiDAR data processing tasks using defined production workflows and procedures
• Contribute to point cloud classification activities including ground surface, vegetation, structures, water features, bridges, and noise filtering
• Apply automated classification routines and perform manual edits and corrections as needed
• Review assigned production areas for completeness and accuracy prior to advancing to subsequent stages
• Assist in identifying and resolving classification inconsistencies within project datasets

Quality Assurance & Review

• Conduct structured QA/QC reviews of point cloud datasets and derived products
• Inspect classified data for missing ground returns, classification artifacts, anomalies, and processing irregularities
• Verify spatial consistency across adjacent data tiles and project deliverables
• Compare production outputs against defined project and client specifications
• Document QA findings and communicate correction needs to senior production staff

Data Organization & Production Support

• Maintain organized project data following established file naming conventions and folder structures
• Track and report production progress to project leads and supervisors
• Keep accurate production logs and support internal documentation efforts
• Assist in preparing and packaging final project deliverables for client submission
• Support the broader project team in meeting delivery milestones and scheduling commitments

Professional Development

• Apply LiDAR processing best practices and internal quality standards to all assigned work
• Participate in team training and contribute to workflow improvement discussions
• Build familiarity with geospatial accuracy requirements and quality control methodologies
• Develop understanding of common client and regulatory specifications in the geospatial industry

Team & Communication

• Work collaboratively with leads, senior staff, and production supervisors to resolve technical issues
• Promptly escalate data quality concerns and processing challenges to appropriate team members
• Coordinate with both in-house and remote production personnel as project needs require
• Contribute to a culture of continuous improvement by sharing observations and lessons learned

What We're Looking For

Education

• Associate's or Bachelor's degree in Geographic Information Systems, Geomatics, Remote Sensing, Geography, Surveying Technology, Engineering Technology, Computer Science, or a closely related discipline
• Equivalent hands-on professional experience will be considered in lieu of a degree

Technical Skills

• Basic knowledge of LiDAR technology, point cloud data, and airborne data collection concepts
• Familiarity with GIS fundamentals including coordinate reference systems and spatial data formats
• Experience or exposure to one or more of the following geospatial platforms: xhyhwjd
• TerraSolid / TerraScan
• LP360
• Esri ArcGIS Pro
• Global Mapper
• QGIS
• Working knowledge of LAS/LAZ point cloud file formats is preferred

Core Competencies

• High attention to detail with the ability to detect and flag data inconsistencies
• Ability to follow structured production procedures with accuracy and consistency
• Comfortable performing repetitive technical tasks while maintaining quality standards
• Strong time management and organizational skills

Communication & Collaboration

• Clear and professional communication of technical findings
• Receptive to feedback and willing to seek guidance from experienced team members
• Comfortable working in collaborative, production-focused team environments
• Positive attitude and genuine commitment to delivering quality work

Bonus Qualifications

• Prior exposure to LiDAR, photogrammetry, surveying, or remote sensing in any capacity
• Experience working with large or complex geospatial datasets
• Basic familiarity with scripting tools such as Python, ArcPy, or SQL
• Internship, co-op, or academic project experience in a geospatial or technical field

We are an equal opportunity employer and encourage candidates from all backgrounds to apply.