Engineer building scalable data platforms for a telematics startup tackling complex backend challenges. Designing and optimizing data platforms for API, managing large - scale data processing.
About the role
- Geospatial Data Engineer building data processing systems for autonomous flight decisions alongside the CTO. Architecting systems evolution from initial implementation to production-grade infrastructure.
Responsibilities
- You'll be our first geospatial hire, building the data processing systems that enable autonomous flight decisions.
- Working with our CTO, you'll architect how our systems evolve from initial implementation to production-grade infrastructure that handles real-world operational demands.
- Design geospatial processing pipelines that balance performance, accuracy, and extensibility
- Build GIS analysis algorithms for weather-aware route optimization
- Integrate multi-source datasets (elevation, obstacles, airspace, meteorological models)
- Create APIs that enable real-time flight decision-making
- Establish patterns and tooling that evolve as our platform matures.
Requirements
- Core GIS competency: 4+ years building geospatial software (or 3 years if you've shipped impressive systems)
- Strong knowledge of common GIS tools and libraries (QGIS, GDAL/OGR)
- Experience with geospatial algorithms (visibility analysis, spatial operations, terrain analysis)
- Deep understanding of coordinate systems, projections, and spatial data structures
- Python ecosystem: Strong Python with scientific computing stack (NumPy, Pandas, SciPy)
- Geospatial libraries: GeoPandas, Rasterio, Xarray, Dask
- Data infrastructure: Experience with spatial databases (PostGIS, Apache Sedona, etc)
- Comfortable with cloud infrastructure (GCP preferred), Docker, Git
- Ability to set up automated data ingestion workflows
- Nice to have: C/C++ for performance-critical processing
- Meteorology, atmospheric science, or aviation background
- Degree in GIS, Computer Science, Engineering, or related field. Master's is a plus, but we'll prioritize what you've built over credentials.
Benefits
- Equity ownership – You're building foundational systems. You should own a meaningful piece of what we're creating.
- Architectural influence – This isn't "implement the spec." You'll shape technical decisions alongside the CTO as we define what autonomous flight infrastructure looks like.
- Hybrid flexibility – Work where you're most productive. We're in Montreal but value focus time and thoughtful collaboration over face-time.
- Growth with the platform – You'll evolve systems as we mature from initial architecture to production-hardened infrastructure. The foundations you establish will scale with increasing mission complexity, data volumes, and operational demands—and you'll architect that evolution.
- Direct impact – Your code runs onboard aircraft making critical flight decisions. You'll see your work enable missions that weren't possible before, extending operational capabilities in real-world conditions.
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