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Added 1 day ago
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Sensor R&D Engineer
Mecka
Richmond Hill, ON
- $150,000 to $190,000 CAD / year
- Full-time
Hands-on experience developing or integrating tactile, force, pressure, or other physical sensors, with an understanding of the underlying sensing physics.
Added 1 day ago
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Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for an exceptional Machine Learning Engineer to design, build, operationalize, and scale production-grade AI/ML and Agentic AI systems at Autodesk For Go-to-market…
Added 1 day ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
7+ years of backend development experience in Java or Python
Added 1 day ago
Forward Deployed Engineer, Application & Infrastructure - Technology Strategy & Transformation
EY
Toronto, ON
Modernize applications developed in Java, JavaScript, TypeScript, .NET, Python, and related enterprise technologies.
Added 1 day ago
Forward Deployed Engineer, AI - Technology Strategy & Transformation
EY
Toronto, ON
Hands-on programming experience with one or more of:
Added 1 day ago
M(
Full-Stack Developer - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Developer Productivity: Internal tooling and IDE plugins that make every engineer faster.
Added 1 day ago
Platform Engineer - AI Engineering
DRW
Montreal, QC
We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on…
Added 1 day ago
A
Senior Sales Engineer
Ataccama
Toronto, ON
- Full-time
As a Senior Sales Engineer, you will work closely with Account Executives to drive sales engineering activities across the entire deal lifecycle. This role requires adaptability, deep…
Added 1 day ago
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Software Engineer I - Development and Quality Engineering
TD
Toronto, ON
- Full-time
The Risk Technology team is seeking a junior Software Engineer with 2–3 years of relevant experience to contribute to both application development and quality engineering. The successful…
Added 1 day ago
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Senior Python Engineer - Data Platforms
Highspring
Montreal, QC
- Full-time
Highspring est à la recherche d'un(e) Senior Python Engineer pour rejoindre une équipe de haut niveau spécialisée en Data & IA. Ce rôle s'adresse à un développeur logiciel passionné par…
Added 2 days ago
S
Senior Data Engineer
Scene+
Toronto, ON
- Full-time
Reporting to the Senior Manager, Data Engineering and Data Governance, we are looking for a Senior Data Engineer who will play a pivotal role in shaping the next generation of Scene+’s data…
Added 2 days ago
IC
Forward Deployed AI Engineer – System Test Automation
Infomatics Corp
Ottawa, ON
- Contract
We are seeking a Forward Deployed AI Engineer (FDE) to accelerate the real-world adoption of AI within our End-to-End System Test Automation. This role focuses on taking AI tools and…
Added 2 days ago
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AI Engineer (Agentic Systems)
HCLTech
Canada
- Full-time
Python (primary for AI pipelines, LangChain, asynchronous processing).
Added 2 days ago
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Senior Software Engineer, Applied AI & Customer Solutions
Udemy
Toronto, ON
- Full-time
As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit…
Added 2 days ago
S
AI Workflow & Operations Intern
Semtech
Richmond, BC · CAN - Richmond, BC
- Full-time
…across its global sales organization. This 8-month co-op is a hands-on, production-oriented role embedded within Sales Operations. You will work directly with the Senior Director of Global…
Added 2 days ago
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Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
Calgary, AB
- Full-time
We are looking for a hands-on Senior Cloud-Native Full Stack Engineer to design, build, and support secure, scalable applications on Microsoft Azure. This role combines modern full-stack…
Added 2 days ago
A
Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
A hands-on platform engineer who combines AWS administration, DevOps automation, Site Reliability Engineering, observability, security, and cloud operations expertise. The candidate should…
Added 2 days ago
Senior Software Engineer, Applied AI & Customer Solutions
Coursera
Toronto, ON
As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit…
Added 2 days ago
AC
AWS DevOps Engineer
Adastra Corporation
Markham, ON
- Full-time
Adastra is looking for an Associate DevOps Engineer to join our AWS Practice and support cloud modernization, data platform, and migration initiatives. The role will focus on building and…
Added 2 days ago
DevOps Engineer
Varonis
Canada
The Role: We are seeking an experienced and driven DevOps Engineer to join our join an engineering team whose mission is to make AI secure for the enterprise. We have a cutting‑edge product…
Added 2 days ago
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Security Engineer
LiveKit
Canada
- Full-time
For infrastructure security: hands-on experience securing a major cloud provider (AWS, GCP or Azure) and containerized workloads including Kubernetes, a track record of owning…
Added 2 days ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Hands-on test automation experience using Python, C#, or Java alongside strong QA process fundamentals.
Added 2 days ago
SI
Staff Cloud Security Engineer
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
As a Staff Cloud Security Engineer, you'll help shape the technical direction of Cloud Security and drive complex architectural investments across our AWS and GCP environments. You'll work…
Added 2 days ago
VM
QA Engineer
Vivid Machines
Toronto, ON
- Full-time
As an Intermediate QA Engineer, you will own the end-to-end Software Testing Life Cycle across our whole product: web applications, mobile apps, backend services, and the camera hardware…
Added 2 days ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Strong hands-on experience implementing and administering Databricks in an enterprise environment.

Highspring

Senior Python Engineer - Data Platforms

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 21, 2026
Experience: Minimum de 6 ans d'expérience en développement logiciel, développement backend, ingénierie de données ou domaine connexe.
Posting language: English · French
Posted: Oct 7, 2026

Original job description

English section of this bilingual listing.

Highspring is a next-generation consulting and professional services firm. We deliver modern, agile, and forward-thinking solutions to our clients across North America. We partner with organizations to help them build scalable technology solutions, accelerate digital transformation, and deliver meaningful business outcomes. At Highspring, we foster collaboration, technical excellence, and continuous learning, empowering our people to make a real impact.

The Opportunity

Highspring is seeking a Senior Python Engineer to join a high-performing Data & AI team responsible for building modern data platforms that power advanced analytics and machine learning initiatives. This role is ideal for a software developer with strong Python expertise who enjoys solving complex technical challenges, processing large-scale data, and building scalable cloud-based solutions.

You will work alongside Data Scientists, Architects, Product Owners, and Engineers to develop the data foundations that support next-generation AI and analytics capabilities.

What You'll Do

Design, develop, and maintain scalable Python-based solutions supporting analytics and machine learning initiatives.
Build and optimize data ingestion, transformation, and processing workflows using modern cloud technologies.
Develop high-performance applications capable of processing large volumes of data efficiently.
Collaborate with Data Scientists, Architects, Business Analysts, and Product Owners to deliver reliable and scalable data products.
Contribute to technical design discussions and influence architecture decisions.
Promote engineering best practices related to software quality, scalability, security, and maintainability.
Support production environments and continuously improve platform performance and reliability.
Work within Agile teams to deliver high-quality solutions in a fast-paced environment.

What You Bring to the Table

6+ years of experience in Software Engineering, Backend Development, Data Engineering, or related fields.
Strong analytical, troubleshooting, and problem-solving skills.
Experience working in Agile delivery environments.
Ability to collaborate effectively with cross-functional technical teams.
Strong communication skills and a team-first mindset.
Passion for innovation, continuous learning, and engineering excellence.

Core Skills Required

Advanced proficiency in Python.
Strong software engineering fundamentals including object-oriented programming, code quality, testing, and scalable architecture.
Hands-on experience with PySpark.
Strong SQL development and optimization skills.
Experience building distributed data processing applications and data pipelines.
Hands-on experience with Databricks and/or Snowflake.
Experience working with cloud platforms such as AWS or GCP.
Strong understanding of data governance, security, and data quality best practices.

Nice to Have

Experience supporting Machine Learning or AI initiatives.
Experience working within large-scale Data & AI organizations.
Knowledge of orchestration tools such as Airflow.
Experience with GCP-based data services.
Exposure to modern lakehouse architectures and cloud-native data platforms.

Our Stack

Programming: Python, SQL, PySpark
Data Platforms: Databricks, Snowflake
Cloud: AWS, GCP
Data Processing: ETL / ELT, Big Data
Methodology: Agile / Scrum
AI & Analytics: Machine Learning, Advanced Analytics

Why Join Highspring

Work on impactful Data & AI initiatives that influence large-scale business decisions.
Collaborate with highly skilled engineers, architects, and data professionals.
Gain exposure to modern cloud and data technologies.
Build scalable solutions that support advanced analytics and machine learning workloads.
Grow your career in an environment that values innovation, technical excellence, and continuous learning.

Read the full bilingual original

À propos de Highspring

Highspring est une firme de consultation et de services professionnels de nouvelle génération. Nous accompagnons nos clients à travers l'Amérique du Nord en offrant des solutions technologiques modernes, agiles et innovantes. Nous aidons les organisations à accélérer leur transformation numérique, à bâtir des solutions technologiques évolutives et à générer des résultats d'affaires concrets. Chez Highspring, nous valorisons la collaboration, l'excellence technique et le développement continu de nos talents.

L'opportunité

Highspring est à la recherche d'un(e) Senior Python Engineer pour rejoindre une équipe de haut niveau spécialisée en Data & IA. Ce rôle s'adresse à un développeur logiciel passionné par Python qui souhaite relever des défis techniques complexes, traiter des volumes massifs de données et contribuer à la conception de plateformes modernes alimentant des initiatives avancées d'intelligence artificielle et d'analytique.

Vous collaborerez étroitement avec des Data Scientists, Architectes, Machine Learning Engineer, Product Owners et autres ingénieurs afin de développer les fondations technologiques nécessaires aux solutions de nouvelle génération.

Ce que vous ferez

Concevoir, développer et maintenir des solutions évolutives basées sur Python supportant des initiatives en analytique et intelligence artificielle.
Développer et optimiser des processus d'ingestion, de transformation et de traitement de données à grande échelle.
Construire des applications performantes capables de traiter de très importants volumes de données.
Collaborer avec les équipes de Data Science, d'Architecture, d'Analyse d'affaires et de Gestion de produit afin de livrer des solutions robustes et fiables.
Participer aux discussions d'architecture et influencer les décisions techniques.
Promouvoir les meilleures pratiques d'ingénierie logicielle en matière de qualité, de sécurité, de performance et de maintenabilité.
Assurer le soutien des environnements de production et l'amélioration continue des plateformes.
Évoluer au sein d'équipes Agile et contribuer à la livraison de solutions de haute qualité.

Ce que vous apportez

Minimum de 6 ans d'expérience en développement logiciel, développement backend, ingénierie de données ou domaine connexe.
Excellentes capacités d'analyse, de résolution de problèmes et de débogage.
Expérience de travail dans des environnements Agile.
Capacité à collaborer efficacement avec des équipes multidisciplinaires.
Excellentes habiletés de communication et esprit d'équipe.
Passion pour l'innovation, l'apprentissage continu et l'excellence technique.

Compétences requises

Excellente maîtrise de Python.
Solides fondations en ingénierie logicielle : programmation orientée objet, conception d'architecture, qualité de code et tests.
Expérience pratique avec PySpark.
Solide expérience avec SQL.
Expérience dans le développement d'applications distribuées et de pipelines de traitement de données.
Expérience avec Databricks et/ou Snowflake.
Expérience avec des plateformes infonuagiques telles qu'AWS ou GCP.
Expérience du traitement de données à grande échelle à l'aide de technologies Big Data modernes.
Bonne compréhension des concepts de gouvernance, de sécurité et de qualité des données.

Atouts

Expérience dans des projets d'intelligence artificielle ou de machine learning.
Expérience au sein d'équipes ou d'organisations Data & IA à grande échelle.
Connaissance d'outils d'orchestration tels qu'Airflow.
Expérience avec les services de données avec GCP.
Connaissance des architectures Lakehouse et des plateformes de données cloud modernes.

Notre environnement technologique

Langages : Python, SQL, PySpark
Plateformes de données : Databricks, Snowflake
Cloud : AWS, GCP
Traitement de données : ETL, ELT, Big Data
Méthodologie : Agile / Scrum
IA et analytique : Machine Learning, Analytique avancée

Pourquoi joindre Highspring ?

Participer à des initiatives Data & IA à fort impact.
Collaborer avec des spécialistes reconnus en développement logiciel, architecture et données.
Travailler avec des technologies modernes dans des environnements cloud de pointe.
Contribuer à la création de plateformes soutenant l'analytique avancée et l'intelligence artificielle.
Évoluer dans un environnement qui valorise l'innovation, l'excellence technique et le développement professionnel continu.

-------------------------------------------------------------------------------------------------

About Highspring

The Opportunity

You will work alongside Data Scientists, Architects, Product Owners, and Engineers to develop the data foundations that support next-generation AI and analytics capabilities.

What You'll Do

Design, develop, and maintain scalable Python-based solutions supporting analytics and machine learning initiatives.
Build and optimize data ingestion, transformation, and processing workflows using modern cloud technologies.
Develop high-performance applications capable of processing large volumes of data efficiently.
Collaborate with Data Scientists, Architects, Business Analysts, and Product Owners to deliver reliable and scalable data products.
Contribute to technical design discussions and influence architecture decisions.
Promote engineering best practices related to software quality, scalability, security, and maintainability.
Support production environments and continuously improve platform performance and reliability.
Work within Agile teams to deliver high-quality solutions in a fast-paced environment.

What You Bring to the Table

6+ years of experience in Software Engineering, Backend Development, Data Engineering, or related fields.
Strong analytical, troubleshooting, and problem-solving skills.
Experience working in Agile delivery environments.
Ability to collaborate effectively with cross-functional technical teams.
Strong communication skills and a team-first mindset.
Passion for innovation, continuous learning, and engineering excellence.

Core Skills Required

Advanced proficiency in Python.
Strong software engineering fundamentals including object-oriented programming, code quality, testing, and scalable architecture.
Hands-on experience with PySpark.
Strong SQL development and optimization skills.
Experience building distributed data processing applications and data pipelines.
Hands-on experience with Databricks and/or Snowflake.
Experience working with cloud platforms such as AWS or GCP.
Experience processing large-scale datasets using modern Big Data technologies.
Strong understanding of data governance, security, and data quality best practices.

Nice to Have

Experience supporting Machine Learning or AI initiatives.
Experience working within large-scale Data & AI organizations.
Knowledge of orchestration tools such as Airflow.
Experience with GCP-based data services.
Exposure to modern lakehouse architectures and cloud-native data platforms.

Our Stack

Programming: Python, SQL, PySpark
Data Platforms: Databricks, Snowflake
Cloud: AWS, GCP
Data Processing: ETL / ELT, Big Data
Methodology: Agile / Scrum
AI & Analytics: Machine Learning, Advanced Analytics

Why Join Highspring

Work on impactful Data & AI initiatives that influence large-scale business decisions.
Collaborate with highly skilled engineers, architects, and data professionals.
Gain exposure to modern cloud and data technologies.
Build scalable solutions that support advanced analytics and machine learning workloads.
Grow your career in an environment that values innovation, technical excellence, and continuous learning.

Apply About employer

More about this job

Responsibilities

Design, develop, and maintain scalable Python solutions and large-scale data ingestion, transformation, and processing workflows for analytics and machine learning initiatives. Collaborate with cross-functional teams on architecture and reliable data products, promote engineering best practices, and support and improve production platforms.

Requirements

Requires at least six years of experience in software engineering, backend development, data engineering, or a related field, along with advanced Python skills, PySpark, SQL, and strong software engineering fundamentals. Candidates should have experience with distributed data applications, large-scale data processing, Databricks and/or Snowflake, AWS or GCP, Agile teams, and data governance, security, and quality.

Skills

Python
PySpark
SQL
Databricks
Snowflake
AWS
GCP
Distributed Data Processing
Data Pipelines
Big Data
Data Governance
Data Security
Data Quality
Object-Oriented Programming
Agile
Airflow

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PySpark
Databricks
Snowflake
AWS
GCP
Airflow
Data Engineering
Data Platforms
Data Pipelines
Data Ingestion
Data Transformation
Distributed Data Processing
Big Data
ETL
ELT
Machine Learning
Artificial Intelligence
Advanced Analytics
Lakehouse Architecture
Cloud-Native Data Platforms
Object-Oriented Programming
Software Architecture
Software Testing
Data Governance
Data Security
Data Quality
Agile
Scrum

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