Shearwater Health
Ingénieur en Données Géospatiales / Geospatial Data Engineer
Montréal, Québec, Canada
Sponsorship not specifiedDetected 86 days ago
PythonC++Data StructuresAlgorithmsGitSQLPostgreSQLGCPCloud PlatformsDockerMachine LearningPandasNumPyData EngineeringGISProblem Solving
About the role
- Integrate and process multi-source geospatial datasets (elevation, obstacles, airspace, weather)
Responsibilities
- Design and build scalable geospatial data processing pipelines and software components
- Develop GIS analysis tools and algorithms for UAV route optimization
- Build automated workflows for continuous data ingestion and processing
- Create APIs and services for real-time geospatial analysis
- 3+ years building GIS software components and data processing systems
Requirements
- Vous avez une solide expertise en ingénierie des données géospatiales?
- Ingénierie géospatiale:
- 3+ années d'expérience dans le développement de composants logiciels SIG et de systèmes de traitement de données.
- Maîtrise des outils et bibliothèques SIG de base (QGIS, GDAL/OGR).
- Solide compréhension des systèmes de coordonnées, projections et structures de données spatiales.
- Expérience avec les algorithmes géospatiaux (visibilité, analyse spatiale).
- Compétences techniques:
- Excellente maîtrise du développement en Python et de la pile scientifique (NumPy, Pandas, SciPy).
- Expérience avec l'écosystème Python géospatial (GeoPandas, Rasterio, Xarray).
- Connaissance du SQL et des bases de données géospatiales (ex.: PostgreSQL/PostGIS).
- Aisance avec les infrastructures cloud (Google Cloud de préférence), les outils de conteneurisation (Docker) et le contrôle de version (Git).
Nice to have
- We want to hear from you!
Skills
- Strong Python development with scientific computing stack (NumPy, Pandas, SciPy)
- Experience with geospatial Python ecosystem (GeoPandas, Rasterio, Xarray)
- Familiarity with SQL and geospatial databases (e.g., PostgreSQL/PostGIS)
- Comfortable with cloud infrastructure (Google Cloud preferred), containerization tools (Docker), and version control (Git).
- Degree in GIS, Computer Science, Engineering, or related field
- C/C++ for performance-critical geospatial processing
- Experience with meteorological data formats (NetCDF, GRIB) and weather models
- Background in meteorology, atmospheric science, or aviation
- Knowledge of AI/ML concepts applied to geospatial data is a plus.
- Strong foundation in geospatial data engineering?
- Note: Only candidates who are legally entitled to work in Canada will be considered for this position.
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This listing is sourced directly from Shearwater Health's careers page and normalized into a canonical job model.