Jr. LiDAR Analyst

Team Trident

Lafayette (LA)

On-site

USD 42,000 - 56,000

Full time

2 days ago
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Job summary

Team Trident is seeking a Junior LiDAR Analyst in Lafayette, LA for a contracted period Oct 2026–May 2027. You will support the geospatial production team by processing LiDAR data, performing classification and QA/QC, and assisting in preparing client-ready deliverables.

You will work with senior staff to follow workflows, maintain data quality, and contribute to project milestones across infrastructure, environmental, and government markets.

Qualifications

  • Knowledge of LiDAR data and point clouds
  • Familiarity with GIS concepts and coordinate systems
  • Exposure to TerraSolid/TerraScan, LP360, Global Mapper or QGIS
  • Degree or hands-on experience in geospatial field

Responsibilities

  • Execute LiDAR data processing following production workflows
  • Classify point clouds into ground, vegetation, structures and water
  • Apply automated classifications and perform manual edits
  • Review areas for completeness before progression
  • Document QA findings and communicate fixes to team

Skills

LiDAR processing
QA/QC
Geospatial production
Data quality

Education

Associate or Bachelor in GIS/Geomatics

Tools

TerraSolid
TerraScan
LP360
Global Mapper
QGIS

Job description

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
  • 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 elevate 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
  • 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
  • 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.

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