Pipeline GIS Technician supporting oil and gas operators with pipeline data management and integrity solutions. Delivering GIS consulting, workflow automation, spatial analysis, and regulatory reporting.
About the role
- Intermediate GIS Analyst with strong Python skills in forestry and natural resource management. Engaging in coding and solving geospatial problems using machine learning and computer vision.
Responsibilities
- We're looking for an Intermediate GIS Analyst with strong Python skills to join our geomatics team.
- Worrk primarily in forestry and natural resource management, solving problems with code rather than navigating software menus.
- Use ArcGIS Pro and ArcPy as core tools, write production-quality ArcPy code, build and maintain Python-based geospatial pipelines, work with large raster and vector datasets.
- Apply machine learning and computer vision techniques to spatial analysis problems, contribute to model development, training, and evaluation.
- Diagnose and solve spatial data problems independently, collaborate with team members across geomatics, forestry, and engineering to scope and deliver solutions.
- Document your work clearly for others.
Requirements
- A bachelor's degree in Geography, GIS, Computer Science, Forestry, or a related field (or equivalent practical experience)
- Strong Python skills — not just scripting, but writing clean, maintainable code that others can read and build on
- Hands-on experience with geospatial Python libraries (GDAL, GeoPandas, Rasterio, Shapely, or similar)
- Solid working knowledge of ArcGIS Pro and ArcPy, including building and deploying custom toolboxes and automating geoprocessing workflows
- Familiarity with forestry-based GIS analysis — working with forest inventory, cutblock data, terrain models, or similar natural resource datasets
- Familiarity with machine learning or computer vision concepts and at least one major framework (PyTorch, TensorFlow, scikit-learn)
- Solid understanding of spatial data structures, coordinate systems, and raster/vector formats
- Experience working with large datasets — knowing when to tile, chunk, or parallelize
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Company matched pension program
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