LiDAR - Quicklook Data Verification Technician at Nv5 in Portland, OR | Kablio

Role

Description

data management

quality checks

lidar verification

data extraction

team training

esri cadd

Document and report data anomalies, collaborating with acquisition and production teams to resolve issues
Maintain rigorous data management and file organization practices
Conduct quality checks on data post-acquisition to identify errors, inconsistencies, or gaps
Perform prompt verification of airborne and mobile LiDAR, o rthoimagery , and other geospatial datasets
Receive raw data from acquisition teams and ensure proper logging and file organization
Extract LiDAR and orthoimagery data from raw formats using sensor-specific processing suites (e.g., RiProcess )
Support team training and mentoring on data verification procedures as needed
Apply technical skills using ESRI, CADD, and vector-based software

Requirements

lidar

gnss/imu

python

pospac

esri

bachelor's

Proficiency in MS Office Suite
Experience with trajectory manipulation and alignment of terrestrial or mobile LiDAR datasets
6+ months of relevant professional experience
Understanding of data sources, acquisition methods, and potential error sources
Proficient in maintaining organized and secure data management systems
Capable of learning from mistakes and applying feedback constructively
Ability to troubleshoot and problem-solve across software platforms
Demonstrates professional, collaborative, and positive demeanor under tight deadlines
Prior exposure to sensor or swath calibration and software like POSPac or Applanix
Bachelor’s degree, or equivalent experience
Strong attention to detail and ability to consistently produce accurate work
Comfort with ambiguity and limited direction; ability to adapt and propose practical solutions
In-depth knowledge of datums and projections
Bachelor’s degree in a science, math, or engineering program
Experience with GNSS/IMU processing and positioning
Experience with ESRI or vector-based software
Knowledge of Python ( Dask library) or Visual Basic for automation and data checks
Able to work 5 days per week in our Portland, OR office
Recognize and understand sources of error in airborne and mobile datasets
Critical thinking and analytical skills to identify and resolve data quality issues
Basic understanding of datums and projections

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

successful completion of a background check and drug screening required.

Company

Overview

Founded in 2015

Year Established

The company was established in 2015, marking its entry into the engineering and consulting industry.

offers a broad spectrum of engineering, consulting, and technical services
focuses on infrastructure, energy, and industrial sectors, operating on large-scale projects across the globe
expertise spans civil engineering, building systems, water resources, and environmental services
helps clients with everything from large infrastructure development to specialized environmental solutions
notable projects include transportation networks, utilities, water treatment facilities, and urban developments
continues to expand through strategic acquisitions, bringing more expertise into the fold
known for leveraging advanced technologies and innovative solutions to deliver high-quality results

Culture + Values

Commitment to excellence
Integrity and transparency
Collaboration and teamwork
Client-centered focus
Innovation and creativity
Respect for people and communities

Environment + Sustainability

Net Zero by 2050

Sustainability Goal

Achieving net zero emissions to minimize environmental impact.

Committed to environmental sustainability and reducing environmental impact.
Works on projects contributing to sustainable infrastructure and green energy solutions.
Integrates sustainable practices into engineering, architecture, and construction services.
Implements energy-saving strategies across operations and service offerings.

Inclusion & Diversity

Women Represent 25%

Workforce Diversity

Women make up 25% of the workforce as of 2023.

Focused on fostering an inclusive culture where diverse talent is valued.
Actively works to increase representation across all levels of the organization.
Has specific gender and diversity recruitment goals to address underrepresentation in certain sectors.
Supports employee resource groups that foster networking and career development opportunities for diverse groups.

Articles

Careers

Investor Newsroom

NV5 Geospatial Careers

Role

Description

data management

quality checks

lidar verification

data extraction

team training

esri cadd

Document and report data anomalies, collaborating with acquisition and production teams to resolve issues
Maintain rigorous data management and file organization practices
Conduct quality checks on data post-acquisition to identify errors, inconsistencies, or gaps
Perform prompt verification of airborne and mobile LiDAR, o rthoimagery , and other geospatial datasets
Receive raw data from acquisition teams and ensure proper logging and file organization
Extract LiDAR and orthoimagery data from raw formats using sensor-specific processing suites (e.g., RiProcess )
Support team training and mentoring on data verification procedures as needed
Apply technical skills using ESRI, CADD, and vector-based software

Requirements

lidar

gnss/imu

python

pospac

esri

bachelor's

Proficiency in MS Office Suite
Experience with trajectory manipulation and alignment of terrestrial or mobile LiDAR datasets
6+ months of relevant professional experience
Understanding of data sources, acquisition methods, and potential error sources
Proficient in maintaining organized and secure data management systems
Capable of learning from mistakes and applying feedback constructively
Ability to troubleshoot and problem-solve across software platforms
Demonstrates professional, collaborative, and positive demeanor under tight deadlines
Prior exposure to sensor or swath calibration and software like POSPac or Applanix
Bachelor’s degree, or equivalent experience
Strong attention to detail and ability to consistently produce accurate work
Comfort with ambiguity and limited direction; ability to adapt and propose practical solutions
In-depth knowledge of datums and projections
Bachelor’s degree in a science, math, or engineering program
Experience with GNSS/IMU processing and positioning
Experience with ESRI or vector-based software
Knowledge of Python ( Dask library) or Visual Basic for automation and data checks
Able to work 5 days per week in our Portland, OR office
Recognize and understand sources of error in airborne and mobile datasets
Critical thinking and analytical skills to identify and resolve data quality issues
Basic understanding of datums and projections

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

successful completion of a background check and drug screening required.