Geospatial Data Specialist

Description

You’ll work closely with our Geospatial Systems Supervisor, CAD and GIS teams, and field crews to ensure that data captured in the field is processed, organized, and delivered with the highest accuracy and consistency.

Blood Hound locates ALL underground utilities and structures and offer a range of highly specialized subsurface utility services to significantly reduce your risk of costly damages and project delays and mitigate safety hazards for your crews and community.

• Provide feedback to technicians and supervisors to enhance data capture quality and efficiency.
• Perform QA/QC checks to ensure alignment, completeness, and consistency across all collected data.
• Support the creation and maintenance of libraries, templates, and standard processing documentation.
• Standardize naming conventions, coordinate systems, and metadata across project deliverables.
• Collaborate with the Geospatial Systems Supervisor to improve internal data pipelines and automation.
• Communicate regularly with field teams to clarify data collection parameters and resolve inconsistencies.
• Process and organize geospatial datasets from multiple sensors including LiDAR, GPR, GNSS, and photogrammetry.
• Convert and clean datasets for import into CAD, GIS, and BIM environments (Civil 3D, QGIS, Revit, etc.).
• Ensure data is properly archived and backed up according to company protocols.
• Support managers and CAD/GIS staff with organized and verified datasets ready for drafting or analysis.
• Generate 2D and 3D outputs such as shapefiles, DWGs, KMLs, and surfaces/TINs.

Requirements

Blood Hound is seeking a detail-oriented and technically skilled Geospatial Data Processing Specialist to join our expanding Geospatial Division. This role is focused on transforming raw sensor data—GPR, LiDAR, GNSS, and UAS imagery—into precise, client-ready deliverables that power engineering, design, and construction decisions.

This role is ideal for someone who enjoys data analysis, mapping workflows, and precision quality control across a wide variety of datasets and software platforms.

• 2–5 years of experience in geospatial data processing, remote sensing, or GIS/CAD production.
• Bachelor’s degree in Geography, Geomatics, Engineering Technology, or related field preferred (or equivalent experience).
• Strong organizational skills and attention to detail.
• Experience with data QA/QC or file standardization.
• Familiarity with LiDAR, photogrammetry, or GPR data formats and workflows preferred.
• Understanding of coordinate systems, datums, and transformations.
• Proficiency with AutoCAD Civil 3D, QGIS, or similar mapping software.
• Comfortable learning new processing tools and adapting to evolving technology.

Benefits

*Hybrid options potentially in the future

Training + Development

Interview process

Visa Sponsorship

Security clearance