Python (ArcPy, ArcGIS API for Python) jobs in Canada

Remote, United States +1 more
Remote
Full-time · Senior
$159K–$232K per year
2+ years

causal inference experimentation machine learning statistics probability experimental design Python data manipulation algorithm implementation supervised learning model evaluation feature engineering large datasets

Build predictive and causal models to improve loan servicing outcomes.

Locations (2)

United States
Canada

Compensation

$167,700—$231,800 USD (US) $159,000—$193,000 USD (Canada)

Responsibilities

Develop and evaluate machine‑learning models for borrower repayment behavior
Apply causal inference and experimentation to measure intervention impact
Translate model predictions into decision algorithms
Partner with Product, Engineering, and Operations on payment experiences and collections strategy
Identify machine‑learning opportunities in servicing areas

Requirements

Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field
Nice to have: PhD in a quantitative field
Nice to have: payment products experience
Nice to have: causal machine‑learning methods
Nice to have: treatment‑effect modeling

Skills

Benefits

Competitive compensation with base pay, bonus opportunities, and equity grants
401(k) or Group Retirement Savings Plan with company match
Employee Stock Purchase Plan (US only)
Comprehensive health coverage (US and Canada)
Health Savings Account contributions (US only)

Software Engineer

Odaia Intelligence Inc. · Posted Nov 9, 2026

Remote, Canada +3 more
Remote
3+ years

React TypeScript Python AWS Kubernetes Snowflake PostgreSQL DuckDB DataFusion CI feature flags instrumentation coding agents Claude Code

Locations (4)

Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States

Responsibilities

Own well-defined product capabilities end-to-end
Work AI-first using Claude Code and other coding agents
Build accessible, responsive React and TypeScript experiences
Design and maintain APIs and backend services
Build, deploy, and operate applications on AWS and Kubernetes

Skills

Benefits

health benefits
stock options
flexible time off

Senior Software Engineer

Odaia Intelligence Inc. · Posted Nov 9, 2026

Remote, Canada +3 more
Remote
Senior
6+ years

React TypeScript AWS Lambda Kubernetes Snowflake PostgreSQL DuckDB DataFusion Python API design coding agents frontend performance backend services cloud architecture

Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight

Locations (4)

Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States

Responsibilities

Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable
Build and maintain real-time computation services (AWS Lambda) that serve scores and calculations on-demand to the customer-facing app, with an eye toward latency, reliability, and cost at scale
Design and maintain reliable, scalable APIs and backend services connecting ODAIA’s data, ML, analytics, and agentic capabilities to customer-facing products
Work across our stack: AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion

Skills

Benefits

Meaningful stock option grants
Immediate medical/dental enrollment
Flexible time off

Engineer, Risk, Risk & Total Fund Management

CPP Investments | Investissements RPC · Posted Nov 9, 2026

Toronto, Ontario, Canada
On-site
Full-time · Mid
3+ years

Python C++Java SQL APIs version control testing methodologies agile development practices AWS CI/CD pipelines

As a Software Engineer, you will participate in the design, build, test and support of value-add technology solutions and products within the Risk Technology team.

Responsibilities

Participate in the design, build, test and support of technology solutions or enhancements to enable business capabilities in an Agile environment.
Apply an understanding of engineering best practices and participate in continuous improvement across the team.
Build an understanding of the technical landscape and the business capabilities it supports and apply critical thought to business requests.
Demonstrate agility and innovation by participating in experimentation and solicitation of early feedback.
Participate with colleagues to help frame and think deeply about problems, identifying options.

Requirements

Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science)
Nice to have: data processing frameworks
Nice to have: application integration technologies
Nice to have: AI-assisted development
Nice to have: generative AI technologies

Skills

Benefits

cutting-edge AI tools
dedicated learning time
practical support

Finance Transformation Manager

Regal Rexnord · Posted Nov 9, 2026

Remote, Mexico +3 more
Remote
7+ years

Lead finance process transformation, standardization, and automation across Regal Rexnord’s Power Management Division, developing reporting tools, dashboards, and financial models to enhance visibility and decision‑making.

Locations (4)

Apodaca, Nuevo León, Mexico
Mexico
United States
Canada

Responsibilities

Lead finance process transformation and standardization across division
Develop and implement financial reporting tools and dashboards
Partner with plant controllers and operations teams to improve manufacturing finance processes
Support budgeting, forecasting, and long‑range financial planning
Implement ERP enhancements and digital transformation initiatives

Requirements

Bachelor’s degree in Finance, Accounting, Business Administration, Industrial Engineering, Information Systems or a related field.
Nice to have: CPA
Nice to have: CMA
Nice to have: MBA
Nice to have: OneStream

Spécialiste principal(e) en architecture de données et intelligence artificielle

OnePoint · Posted Nov 9, 2026

Montreal, Quebec, Canada
Senior
10+ years

Architecture de données IA générative MLOps LLMOps RAG bases de données vectorielles Microsoft Fabric Azure Databricks Snowflake SQL Python Microsoft Purview Unity Catalog Microsoft Foundry Azure OpenAI Amazon Bedrock Google Vertex AI Gouvernance des données Sécurité des données

Lead data architecture and AI solutions design, governance, and implementation across cloud platforms.

Responsibilities

Concevoir des architectures de données modernes de type lakehouse, maillage de données et tissu de données sur Microsoft Fabric, Azure Databricks, Snowflake ou des plateformes équivalentes
Définir les modèles d’ingestion, de traitement par lots et en temps réel, de stockage et d’exposition des données
Encadrer la modélisation des données, notamment les modèles dimensionnels, Data Vault et sémantiques, ainsi que les normes de qualité des données
Établir les fondations de gouvernance des données, incluant le catalogage, le lignage, la gestion des données de référence, la sécurité et la confidentialité à l’aide de solutions telles que Microsoft Purview et Unity Catalog
Concevoir des solutions d’IA générative et agentique intégrant la génération augmentée par récupération (RAG), les agents, l’orchestration et la recherche vectorielle sur Microsoft Foundry, Azure OpenAI, Amazon Bedrock ou Google Vertex AI

Requirements

Baccalauréat en informatique, en génie logiciel, en mathématiques, en statistique ou dans un domaine connexe
Maîtrise constitue un atout
Nice to have: Certifications Microsoft Fabric Analytics Engineer Associate (DP-600)
Nice to have: Fabric Data Engineer Associate (DP-700)
Nice to have: Certifications AWS ou Google Cloud

Skills

Benefits

Minimum of 3 weeks of vacation starting from the first year
Comprehensive group insurance with a generous employer contribution
Employer contribution to a group RRSP
Full remote work flexibility: Hybrid, Remote, or On-site
A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.

Sr Software Development Engineer (Full Stack) - Evisort AI

Workday, Inc. · Posted Nov 9, 2026

Vancouver, British Columbia, Canada
Hybrid
Full-time · Senior
CA$140K–CA$210K per year
8+ years

software engineering Python Flask Django FastAPI PostgreSQL SaaS products AWS DevOps CI/CD automated testing observability Docker Kubernetes Elasticsearch Java TypeScript

Join a collaborative, cross-functional team to enhance and expand an AI-driven contract management platform, delivering scalable, user-centric solutions for legal and business teams.

Compensation

Primary CAN Base Pay Range: $140,000 - $210,000 CAD

Responsibilities

Collaborate with engineering, data science, product, and design teams to build and evolve our vision, strategy, and roadmap
Participate in a supportive, iterative team culture that values curiosity, learning, and strong engineering practices
Contribute to the growth and success of your teammates through knowledge sharing and mentorship
Take ownership of multiple functional areas in our platform — from development to production (“you build it, you run it”)

Requirements

Nice to have: Java
Nice to have: TypeScript

Skills

Benefits

Workday Bonus Plan
role-specific commission/bonus
annual refresh stock grants

Senior Machine Learning Engineer

Workday, Inc. · Posted Nov 9, 2026

Vancouver, British Columbia, Canada
Hybrid
Full-time · Senior
CA$156K–CA$234K per year
7+ years

Python Applied machine learning Deep learning NLP Data structures Algorithms Object-oriented design PyTorch TensorFlow Scikit-learn Hugging Face AWS GCP Docker Kubernetes

Architecting and building scalable machine learning models and AI systems, including Generative AI and LLM-powered agents for Workday's core enterprise applications.

Compensation

The annualized base salary ranges for the primary location and any additional locations are listed below. $156,000 - $234,000 CAD

Responsibilities

Design, develop, and deploy scalable machine learning models and AI systems
Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, and continuous monitoring
Partner with Data Scientists, Software Engineers, Product Managers, and UX Designers
Establish and advocate for engineering best practices and robust MLOps processes
Guide and mentor junior engineers, conduct code and architecture reviews

Requirements

Bachelor's degree
Master's degree
Computer Science
Mathematics
Statistics

Skills

Benefits

Workday Bonus Plan
annual refresh stock grants

AI Engineer

Trojan Technologies · Posted Nov 9, 2026

Remote, Canada
Remote
Full-time
CA$90K–CA$120K per year
5+ years

Design and deploy production-ready AI solutions for remote monitoring and expand AI capabilities across the organization.

Compensation

The compensation range for this role is $90,000-$120,000 CAD per year. This job is also eligible for bonus pay.

Responsibilities

Design and deploy end-to-end AI and machine learning solutions for remote monitoring, predictive insights, anomaly detection, and intelligent alerting.
Build generative AI applications using large language models, RAG, and natural language processing.
Partner with Data Engineering and Analytics Manager and business stakeholders to identify and prioritize high-impact AI opportunities.
Expand AI capabilities across platforms supporting ordering, sales, engineering documentation, troubleshooting, and service.
Build and maintain data pipelines and model infrastructure required for reliable, production-ready AI applications.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another related technical field
Nice to have: IoT data
Nice to have: time-series analysis
Nice to have: remote monitoring
Nice to have: AWS

Skills

Python Azure Snowflake RAG LLMs MLOps Airflow AWS Claude OpenAI Microsoft Azure OpenAI

Benefits

paid time off
medical/dental/vision insurance

Data Engineering Developer II

Trojan Technologies · Posted Nov 9, 2026

Remote, Canada
Remote
Full-time · Mid
CA$80K–CA$100K per year
3+ years

Python Snowflake Airflow SQL DAGs data pipelines data orchestration ingestion streaming batch data quality checks monitoring troubleshooting Agile/Scrum sprint commitments APIs cloud services

Build and support data pipelines, back-end services, and infrastructure for Trojan Technologies’ Stream application and AI/analytics ecosystem.

Compensation

The compensation range for this role is $80,000-$100,000 CAD per year. This job is also eligible for bonus pay.

Responsibilities

Developing and supporting data pipelines using Snowflake, Airflow, and related technologies
Maintaining and improving the Stream application's back-end services, including server-side business logic and API endpoints
Supporting ingestion, storage, processing, and orchestration workflows across Trojan's data ecosystem
Monitoring production pipelines and troubleshooting issues related to reliability, security, performance, and data quality
Identifying and implementing improvements to pipeline and storage performance

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field
Nice to have: user-facing functionality
Nice to have: technical knowledge sharing
Nice to have: AI or machine learning workflows
Nice to have: feature engineering

Skills

Benefits

paid time off
medical/dental/vision insurance

Senior Applied Scientist

Upstart · Posted Nov 10, 2026

Remote, United States +1 more
Remote
Full-time · Senior
$159K–$232K per year
2+ years

Build predictive and causal models to improve loan servicing outcomes.

Locations (2)

United States
Canada

Compensation

$167,700—$231,800 USD (US) $159,000—$193,000 USD (Canada)

Responsibilities

Develop and evaluate machine‑learning models for borrower repayment behavior
Apply causal inference and experimentation to measure intervention impact
Translate model predictions into decision algorithms
Partner with Product, Engineering, and Operations on payment experiences and collections strategy
Identify machine‑learning opportunities in servicing areas

Requirements

Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field
Nice to have: PhD in a quantitative field
Nice to have: payment products experience
Nice to have: causal machine‑learning methods
Nice to have: treatment‑effect modeling

Skills

Benefits

Competitive compensation with base pay, bonus opportunities, and equity grants
401(k) or Group Retirement Savings Plan with company match
Employee Stock Purchase Plan (US only)
Comprehensive health coverage (US and Canada)
Health Savings Account contributions (US only)

Software Engineer

Odaia Intelligence Inc. · Posted Nov 9, 2026

Remote, Canada +3 more
Remote
3+ years

React TypeScript Python AWS Kubernetes Snowflake PostgreSQL DuckDB DataFusion CI feature flags instrumentation coding agents Claude Code

Locations (4)

Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States

Responsibilities

Own well-defined product capabilities end-to-end
Work AI-first using Claude Code and other coding agents
Build accessible, responsive React and TypeScript experiences
Design and maintain APIs and backend services
Build, deploy, and operate applications on AWS and Kubernetes

Skills

Benefits

health benefits
stock options
flexible time off

Senior Software Engineer

Odaia Intelligence Inc. · Posted Nov 9, 2026

Remote, Canada +3 more
Remote
Senior
6+ years

React TypeScript AWS Lambda Kubernetes Snowflake PostgreSQL DuckDB DataFusion Python API design coding agents frontend performance backend services cloud architecture

Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight

Locations (4)

Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States

Responsibilities

Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable
Build and maintain real-time computation services (AWS Lambda) that serve scores and calculations on-demand to the customer-facing app, with an eye toward latency, reliability, and cost at scale
Design and maintain reliable, scalable APIs and backend services connecting ODAIA’s data, ML, analytics, and agentic capabilities to customer-facing products
Work across our stack: AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion

Skills

Benefits

Meaningful stock option grants
Immediate medical/dental enrollment
Flexible time off

Engineer, Risk, Risk & Total Fund Management

CPP Investments | Investissements RPC · Posted Nov 9, 2026

Toronto, Ontario, Canada
On-site
Full-time · Mid
3+ years

Python C++Java SQL APIs version control testing methodologies agile development practices AWS CI/CD pipelines

As a Software Engineer, you will participate in the design, build, test and support of value-add technology solutions and products within the Risk Technology team.

Responsibilities

Participate in the design, build, test and support of technology solutions or enhancements to enable business capabilities in an Agile environment.
Apply an understanding of engineering best practices and participate in continuous improvement across the team.
Build an understanding of the technical landscape and the business capabilities it supports and apply critical thought to business requests.
Demonstrate agility and innovation by participating in experimentation and solicitation of early feedback.
Participate with colleagues to help frame and think deeply about problems, identifying options.

Requirements

Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science)
Nice to have: data processing frameworks
Nice to have: application integration technologies
Nice to have: AI-assisted development
Nice to have: generative AI technologies

Skills

Benefits

cutting-edge AI tools
dedicated learning time
practical support

Finance Transformation Manager

Regal Rexnord · Posted Nov 9, 2026

Remote, Mexico +3 more
Remote
7+ years

Locations (4)

Apodaca, Nuevo León, Mexico
Mexico
United States
Canada

Responsibilities

Lead finance process transformation and standardization across division
Develop and implement financial reporting tools and dashboards
Partner with plant controllers and operations teams to improve manufacturing finance processes
Support budgeting, forecasting, and long‑range financial planning
Implement ERP enhancements and digital transformation initiatives

Requirements

Bachelor’s degree in Finance, Accounting, Business Administration, Industrial Engineering, Information Systems or a related field.
Nice to have: CPA
Nice to have: CMA
Nice to have: MBA
Nice to have: OneStream

Spécialiste principal(e) en architecture de données et intelligence artificielle

OnePoint · Posted Nov 9, 2026

Montreal, Quebec, Canada
Senior
10+ years

Lead data architecture and AI solutions design, governance, and implementation across cloud platforms.

Responsibilities

Concevoir des architectures de données modernes de type lakehouse, maillage de données et tissu de données sur Microsoft Fabric, Azure Databricks, Snowflake ou des plateformes équivalentes
Définir les modèles d’ingestion, de traitement par lots et en temps réel, de stockage et d’exposition des données
Encadrer la modélisation des données, notamment les modèles dimensionnels, Data Vault et sémantiques, ainsi que les normes de qualité des données
Établir les fondations de gouvernance des données, incluant le catalogage, le lignage, la gestion des données de référence, la sécurité et la confidentialité à l’aide de solutions telles que Microsoft Purview et Unity Catalog
Concevoir des solutions d’IA générative et agentique intégrant la génération augmentée par récupération (RAG), les agents, l’orchestration et la recherche vectorielle sur Microsoft Foundry, Azure OpenAI, Amazon Bedrock ou Google Vertex AI

Requirements

Baccalauréat en informatique, en génie logiciel, en mathématiques, en statistique ou dans un domaine connexe
Maîtrise constitue un atout
Nice to have: Certifications Microsoft Fabric Analytics Engineer Associate (DP-600)
Nice to have: Fabric Data Engineer Associate (DP-700)
Nice to have: Certifications AWS ou Google Cloud

Skills

Benefits

Minimum of 3 weeks of vacation starting from the first year
Comprehensive group insurance with a generous employer contribution
Employer contribution to a group RRSP
Full remote work flexibility: Hybrid, Remote, or On-site
A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.

Sr Software Development Engineer (Full Stack) - Evisort AI

Workday, Inc. · Posted Nov 9, 2026

Vancouver, British Columbia, Canada
Hybrid
Full-time · Senior
CA$140K–CA$210K per year
8+ years

software engineering Python Flask Django FastAPI PostgreSQL SaaS products AWS DevOps CI/CD automated testing observability Docker Kubernetes Elasticsearch Java TypeScript

Join a collaborative, cross-functional team to enhance and expand an AI-driven contract management platform, delivering scalable, user-centric solutions for legal and business teams.

Compensation

Primary CAN Base Pay Range: $140,000 - $210,000 CAD

Responsibilities

Collaborate with engineering, data science, product, and design teams to build and evolve our vision, strategy, and roadmap
Participate in a supportive, iterative team culture that values curiosity, learning, and strong engineering practices
Contribute to the growth and success of your teammates through knowledge sharing and mentorship
Take ownership of multiple functional areas in our platform — from development to production (“you build it, you run it”)

Requirements

Nice to have: Java
Nice to have: TypeScript

Skills

Benefits

Workday Bonus Plan
role-specific commission/bonus
annual refresh stock grants

Senior Machine Learning Engineer

Workday, Inc. · Posted Nov 9, 2026

Vancouver, British Columbia, Canada
Hybrid
Full-time · Senior
CA$156K–CA$234K per year
7+ years

Python Applied machine learning Deep learning NLP Data structures Algorithms Object-oriented design PyTorch TensorFlow Scikit-learn Hugging Face AWS GCP Docker Kubernetes

Architecting and building scalable machine learning models and AI systems, including Generative AI and LLM-powered agents for Workday's core enterprise applications.

Compensation

The annualized base salary ranges for the primary location and any additional locations are listed below. $156,000 - $234,000 CAD

Responsibilities

Design, develop, and deploy scalable machine learning models and AI systems
Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, and continuous monitoring
Partner with Data Scientists, Software Engineers, Product Managers, and UX Designers
Establish and advocate for engineering best practices and robust MLOps processes
Guide and mentor junior engineers, conduct code and architecture reviews

Requirements

Bachelor's degree
Master's degree
Computer Science
Mathematics
Statistics

Skills

Benefits

Workday Bonus Plan
annual refresh stock grants

AI Engineer

Trojan Technologies · Posted Nov 9, 2026

Remote, Canada
Remote
Full-time
CA$90K–CA$120K per year
5+ years

Design and deploy production-ready AI solutions for remote monitoring and expand AI capabilities across the organization.

Compensation

The compensation range for this role is $90,000-$120,000 CAD per year. This job is also eligible for bonus pay.

Responsibilities

Design and deploy end-to-end AI and machine learning solutions for remote monitoring, predictive insights, anomaly detection, and intelligent alerting.
Build generative AI applications using large language models, RAG, and natural language processing.
Partner with Data Engineering and Analytics Manager and business stakeholders to identify and prioritize high-impact AI opportunities.
Expand AI capabilities across platforms supporting ordering, sales, engineering documentation, troubleshooting, and service.
Build and maintain data pipelines and model infrastructure required for reliable, production-ready AI applications.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another related technical field
Nice to have: IoT data
Nice to have: time-series analysis
Nice to have: remote monitoring
Nice to have: AWS

Skills

Python Azure Snowflake RAG LLMs MLOps Airflow AWS Claude OpenAI Microsoft Azure OpenAI

Benefits

paid time off
medical/dental/vision insurance

Data Engineering Developer II

Trojan Technologies · Posted Nov 9, 2026

Remote, Canada
Remote
Full-time · Mid
CA$80K–CA$100K per year
3+ years

Python Snowflake Airflow SQL DAGs data pipelines data orchestration ingestion streaming batch data quality checks monitoring troubleshooting Agile/Scrum sprint commitments APIs cloud services

Build and support data pipelines, back-end services, and infrastructure for Trojan Technologies’ Stream application and AI/analytics ecosystem.

Compensation

The compensation range for this role is $80,000-$100,000 CAD per year. This job is also eligible for bonus pay.

Responsibilities

Developing and supporting data pipelines using Snowflake, Airflow, and related technologies
Maintaining and improving the Stream application's back-end services, including server-side business logic and API endpoints
Supporting ingestion, storage, processing, and orchestration workflows across Trojan's data ecosystem
Monitoring production pipelines and troubleshooting issues related to reliability, security, performance, and data quality
Identifying and implementing improvements to pipeline and storage performance

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field
Nice to have: user-facing functionality
Nice to have: technical knowledge sharing
Nice to have: AI or machine learning workflows
Nice to have: feature engineering

Skills

Benefits

paid time off
medical/dental/vision insurance