Data engineer jobs in Canada (801 jobs)

Find data engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 801
Employers: 392

Advertised starting pay

Average starting payCAD / year: $103,171Across 89 listings
Average starting payCAD / hour: $63.78Across 36 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 4%33 listings
Hybrid: 40%317 listings
On-site: 56%447 listings

Not specified: <1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), Capgemini (27), J&M Group (15).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Canada

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Added 3 months ago
A
Senior Data Engineer
APPLY
Toronto, ON · Vancouver, BC
- Full-time
Added 4 months ago
C
Senior Data Engineer
ClickUp
Canada
- Full-time
We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverag
Added 4 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
Added 4 months ago
HM
Data Engineer
Hotspex Media
Toronto, Ontario
- $85,000 to $115,000 CAD / year
- Full-time
Added 4 months ago
B
Manager, Data Engineer
Brookfield
Toronto, Ontario
- Full-time
Added 3 months ago
PF
Lead Data Engineer
PureFacts Financial Solutions
Toronto, ON
- $130,000 to $150,000 CAD / year
We are looking for a Data Engineer who will play a key role in building, maintaining, and optimizing our data pipelines and infrastructure. You will work closely with data scientists,…
Added 3 months ago
O
Senior Data Engineer
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 4 months ago
T
Senior Data Engineer
Techedin
Toronto, Ontario
- Full-time
We are hiring for the Senior Data Engineer role, where the selected candidate will work on scalable data pipelines and analytics solutions. This position focuses on large-scale data…
Added 4 months ago
C
Jr Data Engineer - Custom Solutions
Citylitics
Toronto, Ontario
- $70,000 to $80,000 CAD / year
- Full-time
Added 3 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create…
Added 4 months ago
KS
Data Engineer
KPI Sight
Toronto, Ontario
- $120,000 CAD / year
- Full-time
This is a full time, hybrid Data Engineer role based in Toronto with flexibility to work from home part time.
Added 1 month ago
PC
Sr. Data Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on building and optimizing large-scale data processing…
Added 4 months ago
P
Data Engineer
PartsAvatar.ca
Montreal, Quebec
- Full-time
Added 4 months ago
R
Data Engineer
RAVL
Toronto, Ontario
- Full-time
As a Data Engineer at RAVL, you’ll design, build, and operate t
Added 6 months ago
Ingénieur en Données Géospatiales / Geospatial Data Engineer
Shearwater
Montreal, QC
Added 4 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
Added 3 months ago
R
Senior Data Engineer
Relay
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Data Engineer to help us scale our
Added 1 month ago
D
Data Engineer
Dexian
Toronto, ON · Greater Toronto Area, Canada
- Contract
Senior Power BI Developer / Data engineer – Capital & Risk Reporting
Added 4 months ago
B
AI and Data Engineer
Blend
Edmonton, Alberta
- Full-time
…co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by…
Added 3 months ago
T
Senior Data Engineer
Trackforce
Montreal, QC
- Full-time
Added 5 months ago
QA
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
Added 2 months ago
N
Lead Data Engineer
Nasdaq
Toronto, ON
- Full-time
As a Lead Data Engineer reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the…
Added 2 months ago
KS
Data Engineer
Kumaran Systems
Toronto, ON
- Full-time
We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI.
Added 5 months ago
KS
Data Engineer
Kumaran Systems
Toronto, Ontario
- Full-time
Added 5 months ago
T
Senior Data Engineer (Python, Spark, Snowflake) - Toronto, ON
Techedin
Toronto, Ontario
- $65 to $72 CAD / hour
- Contract
Job Title: Senior Data Engineer (Python, Spark, Snowflake)

Shearwater

Ingénieur en Données Géospatiales / Geospatial Data Engineer

Montreal, QC, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: 3+ années d’expérience dans le développement de composants logiciels SIG et de systèmes de traitement de données.
Posting language: English · French
Posted: Apr 27, 2026

Original job description

English section of this bilingual listing.

Expérience avec l’écosystème Python géospatial (GeoPandas, Rasterio, Xarray).

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.

Read the full bilingual original

Résumé

Nous développons un cadre d’autonomie complète qui permet aux drones de prendre des décisions de vol intelligentes à bord, sans intervention humaine. Notre plateforme combine une planification d’itinéraire tenant compte de la météo, un guidage en temps réel et une prise de décision embarquée afin de permettre aux opérateurs de déployer de véritables missions autonomes capables de s’adapter aux conditions changeantes en vol.

À propos du poste

Contribuez à bâtir l’infrastructure de données pour les opérations de drones autonomes. Vous travaillerez directement avec notre CTO afin de créer des systèmes de traitement géospatial permettant une prise de décision de vol intelligente.

Responsabilités principales :

Concevoir et développer des pipelines évolutifs de traitement de données géospatiales et des composants logiciels.
Développer des outils et algorithmes d’analyse SIG pour l’optimisation des itinéraires UAV.
Intégrer et traiter des ensembles de données géospatiales multi-sources (élévation, obstacles, espace aérien, météo).
Mettre en place des flux de travail automatisés pour l’ingestion et le traitement continus des données.
Créer des API et services pour l’analyse géospatiale en temps réel.

Qualifications :

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).

Qualifications souhaitées

Diplôme en SIG, informatique, ingénierie ou domaine connexe.
Connaissances en C/C++ pour le traitement géospatial critique en performance.
Expérience avec les formats de données météorologiques (NetCDF, GRIB) et les modèles météo.
Formation ou expérience en météorologie, sciences atmosphériques ou aviation.
Connaissances des concepts IA/ML appliqués aux données géospatiales (atout).

Vous avez une solide expertise en ingénierie des données géospatiales ? Nous voulons vous rencontrer ! Nous privilégions la capacité de résolution de problèmes et l’agilité d’apprentissage plutôt que la vérification de toutes les cases.

Note : Seules les personnes légalement autorisées à travailler au Canada seront considérées pour ce poste.

______________

Summary

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.

Apply About employer

More about this job

Responsibilities

Design and build scalable geospatial data processing pipelines and software components for autonomous drone operations. Develop GIS analysis tools and algorithms to enable intelligent, real-time flight decision-making.

Requirements

Requires 3+ years of experience in geospatial engineering and proficiency with Python, GIS libraries, and spatial databases. A degree in a related field is preferred, along with knowledge of cloud infrastructure and containerization.

Skills

Python
Geospatial Engineering
GIS
GDAL/OGR
PostgreSQL
PostGIS
Google Cloud
Docker
Git
NumPy
Pandas
SciPy
GeoPandas
Rasterio
Xarray
UAV Route Optimization

Visa sponsorship

Not detected in the job text

Keywords

Geospatial Data Engineering
Drones
UAV
Autonomous Systems
GIS
Python
NumPy
Pandas
SciPy
GeoPandas
Rasterio
Xarray
PostgreSQL
PostGIS
Google Cloud
Docker
Git
GDAL
OGR
Spatial Analysis
Meteorology
NetCDF
GRIB
C++
AI
Machine Learning
Aviation
Data Pipelines
API Development
Route Optimization

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