Data Compliance Engineer
Core
Ensures accuracy, consistency, and reliability of LiDAR datasets for geospatial analysis and decision-making by developing QA/QC protocols and managing data lifecycle.
Role type
Senior IC data compliance engineer (remote sensing)
Builds
Validated LiDAR point clouds, derived products, and metadata for Forest Inventory, Microplanning, and Tree improvement applications
Domain
Geospatial data / Remote sensing / LiDAR
Deliverable
production ML models
Required skills
LiDAR data validation, QA/QC protocol development, spatial database management, root cause analysis, statistical and spatial analytics, Python/MATLAB/R/IDL/JavaScript, automated quality control algorithms, big data processing and deployment
Preferred skills
Six Sigma/LEAN certification, knowledge of UAV/Satellite technologies, AI/Deep Learning methods for remote sensing, project development and deployment strategy
Technologies
LiDAR, GIS, Python, MATLAB, R, IDL, JavaScript, SPC tools, statistical software
Responsibilities
Run QA tests (Density, Accuracy, Nomenclature, Landuse, Coverage) on LiDAR data; perform root cause analysis and action planning; manage subordinates and ensure project progress; develop standard operational procedures for remote sensing workflows; prepare technical reports and presentations on project results; collaborate with field teams and customers to resolve data anomalies
Seniority
Senior, hands-on IC with management responsibilities
