LiDAR - Quicklook Data Verification Technician
NV5About the role
Overview
The Quicklook Data Verification Technician is responsible for ensuring the accuracy, completeness, and integrity of raw data received from acquisition teams before downstream processing. This role focuses on verifying data quality, identifying errors, and maintaining excellent data management practices. The specialist works both independently and collaboratively to support a seamless workflow from acquisition to processing.
This position is onsite at the NV5 office in Portland, OR.
NV5 is a global technology solutions and consulting services company with a workforce of over 4,500 professionals in more than 100 offices worldwide. NV5’s continued growth has been spurred through strategic investments in firms with unique capabilities to help current and future customers solve the world’s toughest problems. The NV5 family brings together talent across a wide range of markets and fields, including Professional Engineers, Professional Land Surveyors, Architects, Photogrammetrists, GIS Professionals, Software Developers, IT, Project Management Professionals, and more.
At NV5 Geospatial, We are a collaboration of intelligent, innovative thinkers who care for each other, our communities, and the environment. We value both heart and head, the diversity of our people, and their experiences because that is how we continue to grow as leaders in our industry and expand our individual and collective potential.
Responsibilities
- Receive raw data from acquisition teams and ensure proper logging and file organization
- Perform prompt verification of airborne and mobile LiDAR, orthoimagery, and other geospatial datasets
- Conduct quality checks on data post-acquisition to identify errors, inconsistencies, or gaps
- Extract LiDAR and orthoimagery data from raw formats using sensor-specific processing suites (e.g., RiProcess)
- Document and report data anomalies, collaborating with acquisition and production teams to resolve issues
- Maintain rigorous data management and file organization practices
- Recognize and understand sources of error in airborne and mobile datasets
- Apply technical skills using ESRI, CADD, and vector-based software
- Support team training and mentoring on data verification procedures as needed
Qualifications
Minimum Requirements:
- Able to work 5 days per week in our Portland, OR office
- 6+ months of relevant professional experience
- Basic understanding of datums and projections
- Bachelor’s degree, or equivalent experience
- Experience with ESRI or vector-based software
- Proficiency in MS Office Suite
Preferred Qualifications:
- Bachelor’s degree in a science, math, or engineering program
- In-depth knowledge of datums and projections
- Knowledge of Python (Dask library) or Visual Basic for automation and data checks
- Experience with GNSS/IMU processing and positioning
- Prior exposure to sensor or swath calibration and software like POSPac or Applanix
- Experience with trajectory manipulation and alignment of terrestrial or mobile LiDAR datasets
Experience/Skills Preferred (in addition to requirements):
- Strong attention to detail and ability to consistently produce accurate work
- Understanding of data sources, acquisition methods, and potential error sources
- Ability to troubleshoot and problem-solve across software platforms
- Proficient in maintaining organized and secure data management systems
- Demonstrates professional, collaborative, and positive demeanor under tight deadlines
- Capable of learning from mistakes and applying feedback constructively
- Comfort with ambiguity and limited direction; ability to adapt and propose practical solutions
- Critical thinking and analytical skills to identify and resolve data quality issues
Employment is contingent upon successful completion of a background check and drug screening.
NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, PTO, 401(k) and professional development/advancement opportunities.
NV5 provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or exp
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