What You’ll Do Run project GIS workflows

• Prepare, curate, and serve complex client datasets across surface GIS and 3D subsurface contexts.
• Use GIS tools day to day to assemble layers, validate spatial alignment, and produce project outputs.
• Create high-quality maps and figures for internal review and client deliverables, including cartographic polish when needed.

Build ingestion and QA/QC systems

• Ingest and normalize datasets such as:

• Drillhole and drill core data (major focus)

• Airborne and other geophysical survey datasets

• Supporting geospatial layers and project metadata

• Standardize disparate client formats into a unified framework to support modeling workflows.

• Build automated QA/QC checks that catch issues early, including:

• Coordinate reference systems and transformations

• Units, conventions, missingness, duplicates, and outlier detection

• Schema validation, metadata sanity, provenance tracking

• Cross-dataset consistency checks (for example, collars vs surveys vs intervals)

• Create reproducible ingestion pipelines that reduce manual work and shorten time-to-first-model.

• Act as a primary liaison for geology and ML teams, providing spatial analysis and visual validation of outputs against client-provided datasets.

• Document standards and build tooling that is usable by other engineers and scientists.

Requirements

• Formal training and hands-on experience in GIS, geospatial data science, geoscience data systems, or a closely related discipline.
• Strong practical ability with messy data, including building pipelines, validations, and repeatable transformations.
• Proficiency with modern GIS software. Experience with QGIS and/or ArcGIS Pro is strongly preferred.
• Experience with spatial data administration: coordinate system transformations, managing large datasets, and working with spatial databases.
• Ability to build in Python for data workflows.

Nice to have

• Experience producing publication-quality technical figures (Adobe Creative Suite or similar).
• Familiarity with subsurface or geo-modeling tools (Leapfrog, SKUA GOCAD, Mira Geoscience Analyst, or similar).
• Experience with drillhole data standards and common exploration formats.
• Experience with geophysical datasets and processing concepts.
• Experience designing QA/QC systems where wrong data has real cost.