Comfortable with cloud infrastructure (Google Cloud preferred), containerization tools (Docker), and version control (Git). Preferred Qualifications * Degree in GIS, Computer Science, Engineering, or ...
Comfortable with cloud infrastructure (Google Cloud preferred), containerization tools (Docker), and version control (Git). Preferred Qualifications * Degree in GIS, Computer Science, Engineering, or ...
Gis Google information
See Quebec salary details
$12.02 - $18.27
10% of jobs
$22.58 is the 25th percentile. Wages below this are outliers.
$18.27 - $24.52
22% of jobs
$24.52 - $30.77
16% of jobs
The median wage is $31.91 / hr.
$30.77 - $37.02
12% of jobs
$37.02 - $43.27
9% of jobs
$49.07 is the 75th percentile. Wages above this are outliers.
$43.27 - $49.52
7% of jobs
$49.52 - $55.77
6% of jobs
$55.77 - $62.02
5% of jobs
$62.02 - $68.27
5% of jobs
$68.27 - $74.52
4% of jobs
$74.52 - $80.77
3% of jobs
$12
$39
$80
How much do gis google jobs pay per hour?
As of Aug 15, 2026, the average hourly pay for gis google in Quebec is $39.68, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $52.88 per hour, depending on experience, location, and employer.
Is GIS still in demand?
GIS (Geographic Information Systems) professionals are in ongoing demand across industries such as urban planning, environmental management, and transportation due to the increasing reliance on spatial data analysis. Skills in GIS software like ArcGIS or QGIS, along with data management and analysis capabilities, are highly valued by employers seeking to leverage geographic data for decision-making.
What types of projects might I work on as a GIS professional at Google?
As a GIS professional at Google, you may contribute to projects involving digital mapping, geospatial data analysis, and the enhancement of location-based services such as Google Maps or Google Earth. Team members collaborate with software engineers, data scientists, and product managers to develop data-driven solutions for real-world challenges, such as optimizing routes, creating environmental models, or supporting disaster response. Your daily work may involve processing large geospatial datasets, developing tools for data visualization, and ensuring the accuracy of geographic information. This collaborative and innovative environment encourages continuous learning and can offer exciting opportunities for career growth in both technical and leadership paths.
What is a GIS Google?
A GIS Google job typically involves working with geographic information systems (GIS) and Google's mapping technologies, such as Google Maps, Google Earth, or Google Cloud’s geospatial tools. Professionals in this role may analyze spatial data, develop mapping applications, or support location-based services. These positions can be found in industries like urban planning, logistics, environmental science, and marketing. Skills in GIS software, programming, and data analysis are often required.
What are the key skills and qualifications needed to thrive in the GIS Google position, and why are they important?
To thrive in a GIS (Geographic Information Systems) role at Google, candidates typically need a strong background in spatial analysis, data visualization, and geospatial data management, supported by a relevant degree or experience. Proficiency with software such as ArcGIS, QGIS, Google Earth Engine, and experience in programming languages like Python or SQL are highly valued, along with relevant certifications. Strong problem-solving abilities, attention to detail, and effective communication skills help individuals stand out in team-based and project-driven environments. These skills and qualities are essential to accurately process, analyze, and present geospatial data for innovative projects that impact millions of users worldwide.
What are popular job titles related to Gis Google jobs in Quebec?
For Gis Google jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Gis Google jobs in Quebec look for?
The top searched job categories for Gis Google jobs in Quebec are:
Full-time
Re-posted 7 days ago
Job description
Resume
Nous developpons un cadre d'autonomie complete qui permet aux drones de prendre des decisions de vol intelligentes a bord, sans intervention humaine. Notre plateforme combine une planification d'itineraire tenant compte de la meteo, un guidage en temps reel et une prise de decision embarquee afin de permettre aux operateurs de deployer de veritables missions autonomes capables de s'adapter aux conditions changeantes en vol.
A propos du poste
Contribuez a batir l'infrastructure de donnees pour les operations de drones autonomes. Vous travaillerez directement avec notre CTO afin de creer des systemes de traitement geospatial permettant une prise de decision de vol intelligente.
Responsabilites principales :
- Concevoir et developper des pipelines evolutifs de traitement de donnees geospatiales et des composants logiciels.
- Developper des outils et algorithmes d'analyse SIG pour l'optimisation des itineraires UAV.
- Integrer et traiter des ensembles de donnees geospatiales multi-sources (elevation, obstacles, espace aerien, meteo).
- Mettre en place des flux de travail automatises pour l'ingestion et le traitement continus des donnees.
- Creer des API et services pour l'analyse geospatiale en temps reel.
Qualifications :
Ingenierie geospatiale :
- 3+ annees d'experience dans le developpement de composants logiciels SIG et de systemes de traitement de donnees.
- Maitrise des outils et bibliotheques SIG de base (QGIS, GDAL/OGR).
- Solide comprehension des systemes de coordonnees, projections et structures de donnees spatiales.
- Experience avec les algorithmes geospatiaux (visibilite, analyse spatiale).
Competences techniques :
- Excellente maitrise du developpement en Python et de la pile scientifique (NumPy, Pandas, SciPy).
- Experience avec l'ecosysteme Python geospatial (GeoPandas, Rasterio, Xarray).
- Connaissance du SQL et des bases de donnees geospatiales (ex. : PostgreSQL/PostGIS).
- Aisance avec les infrastructures cloud (Google Cloud de preference), les outils de conteneurisation (Docker) et le controle de version (Git).
Qualifications souhaitees
- Diplome en SIG, informatique, ingenierie ou domaine connexe.
- Connaissances en C/C++ pour le traitement geospatial critique en performance.
- Experience avec les formats de donnees meteorologiques (NetCDF, GRIB) et les modeles meteo.
- Formation ou experience en meteorologie, sciences atmospheriques ou aviation.
- Connaissances des concepts IA/ML appliques aux donnees geospatiales (atout).
Vous avez une solide expertise en ingenierie des donnees geospatiales ? Nous voulons vous rencontrer ! Nous privilegions la capacite de resolution de problemes et l'agilite d'apprentissage plutot que la verification de toutes les cases.
Note : Seules les personnes legalement autorisees a travailler au Canada seront considerees pour ce poste.
______________
Summary
We're building a full autonomy framework that enables drones to make intelligent flight decisions onboard, without human intervention. Our platform combines weather-aware route planning, real-time guidance, and onboard decision-making to allow operators to deploy truly autonomous missions that adapt to changing conditions in flight.
About the Role
Help us build the data backbone for autonomous drone operations. You'll work directly with our CTO to create geospatial processing systems that enable intelligent flight decision-making.
Key Responsibilities
- Design and build scalable geospatial data processing pipelines and software components
- Develop GIS analysis tools and algorithms for UAV route optimization
- Integrate and process multi-source geospatial datasets (elevation, obstacles, airspace, weather)
- Build automated workflows for continuous data ingestion and processing
- Create APIs and services for real-time geospatial analysis
Required Qualifications
Geospatial Engineering:
- 3+ years building GIS software components and data processing systems
- Proficiency with core GIS tools and libraries (QGIS, GDAL/OGR)
- Strong understanding of coordinate systems, projections, and spatial data structures
- Experience with geospatial algorithms (visibility, spatial analysis)
Technical 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).
Preferred Qualifications
- 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? We want to hear from you! We value problem-solving ability and learning agility over checking every box.
Note: Only candidates who are legally entitled to work in Canada will be considered for this position.
About Shearwater International
Sourced by ZipRecruiter
Company size
11 - 50 Employees
Headquarters location
Boston, MA, US
Year founded
2015