About the Role
Junior LiDAR Analyst
Employment Type:
Contract |
Duration:
October 2026 – May 2027
Can report into: Lafayette, LA, Frederick, MD, or Norfolk, VA
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:
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.