8mo ago

Geospatial Data Engineer

CA·MontréalRemotemid

EngineeringOtherData EngineeringGeospatial Data Engineer

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Quick Summary

Key Responsibilities

Design geospatial processing pipelines that balance performance, accuracy,

Technical Tools

EngineeringOtherData EngineeringGeospatial Data Engineer

Drones that think for themselves. Not pre-programmed routes—true autonomy where aircraft make intelligent decisions onboard, adapting to weather, obstacles, and airspace in real-time without human intervention.

We're building weather-aware flight optimization that delivers outcome-driven autonomy for the real world—increasing mission success by extending range, endurance, safety, and reliability.

You'll architect the geospatial brain that makes this possible

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

~1 min read

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

Strong Python with scientific computing stack (NumPy, Pandas, SciPy)

Geospatial libraries: GeoPandas, Rasterio, Xarray, Dask

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

~1 min read

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.

What We Offer

~1 min read

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.

We're looking for problem-solvers who thrive when building systems from first principles in a domain that matters.

Strong foundation in geospatial engineering but don't check every box? We want to hear from you. We value learning agility and problem-solving ability over credential collection.