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Added 17 days ago
D
Senior Product Engineer II - Backend
Docebo
Toronto, ON
- $123,400 to $164,500 CAD / year
- Full-time
As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical…
Added 17 days ago
BS
Technical Lead
Brainhunter Systems Ltd
Toronto, ON
- Contract
8+ years building and operating complex enterprise digital products, including experience as a Technical Lead, Staff Engineer or senior full-stack developer.
Added 17 days ago
TC
RPA Platform Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
The Senior Platform Engineer develops, maintains, and manages automation platforms across on-premises environments, AWS cloud, and vendor SaaS solutions to enable automation across…
Added 17 days ago
D
Senior Product Engineer II - Backend
Docebo
Remote, Canada
- $123,400 to $164,500 CAD / year
- Full-time
- Remote
As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical…
Added 17 days ago
H
Senior Python Engineer - Data Platforms
Highspring
Montreal, QC
- Full-time
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…
Added 17 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 18 days ago
U
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 18 days ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- Full-time
As the Cloud Infrastructure and DevSecOps Engineer, you will own the end-to-end cloud infrastructure and deployment pipeline for InfoTrack Canada. You will unblock critical environment…
Added 18 days ago
F
Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
Familiarity with cloud platform services such as Azure or AWS
Added 18 days ago
A
Senior Full Stack Developer/AI Builder
adidas
Woodbridge, ON
- Full-time
We are seeking a highly skilled Senior Full-Stack Front-End/Back-End Developer who can design, build, test, deploy, and support enterprise-grade web solutions using technologies such as…
Added 18 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 18 days ago
A
Information Technology - Senior Analytics Engineer/Analytics Engineer, Marketing & Transformation Technology
Aritzia
Vancouver, BC
- Full-time
…growing with it. This is a unique opportunity to transform raw data in a modern platform and create models that empower self-serve analysis, reporting, and data science. As the Senior…
Added 18 days ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
The AI Platform team delivers centralized AI resources across all Electronic Arts franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide…
Added 18 days ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, OpenShift).
Added 18 days ago
A
Information Technology - Senior Analytics Engineer/Analytics Engineer, Marketing & Transformation Technology
Aritzia
Vancouver, BC
- Full-time
…growing with it. This is a unique opportunity to transform raw data in a modern platform and create models that empower self-serve analysis, reporting, and data science. As the Senior…
Added 18 days ago
MR
Senior Platform Engineer/ High Growth
Motion Recruitment
Toronto, ON
- $190,000 to $220,000 USD / year
- Full-time
…reliability and incident-response software is looking for a Senior Platform Engineer to help scale the infrastructure behind its…
Added 18 days ago
HD
Databricks Engineer
Hire DigITalent Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90 to $110 CAD / hour
- Contract
Our client is running a modern data platform built on AWS and actively moving through a major Databricks implementation. The core objective is transforming data into actionable business…
Added 18 days ago
Z
Lead Data Engineer
ZS
Toronto, ON
- Full-time
Strong understanding of data warehousing concepts and cloud-based data platforms (e.g., AWS, Azure, GCP).
Added 18 days ago
M
Software Engineer II, Core Edge Processing
Marqeta
Remote, Canada
- Full-time
- Remote
As Marqeta's Software Engineer II on the Core Edge Processing team, you will write and ship production code at the heart of our processing systems, learning alongside senior engineers on a…
Added 18 days ago
M
Senior Full Stack Engineer, Customer & Cardholder Experiences
Marqeta
Remote, Canada
- Full-time
- Remote
We are looking for a Senior Full Stack Software Engineer to join our Customer & Cardholder Experiences team, delivering innovative UIs and embeddable solutions to transform the experience…
Added 18 days ago
PD
Senior Software Engineer - Backend
Parallel Domain
Vancouver, BC
- Full-time
We're hiring a Senior Software Engineer to own delivery across this stack. You'll design and build features and services end to end - from API design through to production - and take real…
Added 18 days ago
DI
Senior IT Security Engineer
Draganfly Inc.
Burnaby, BC
- $120,000 to $140,000 CAD / year
- Full-time
The Senior IT Security Engineer builds, operates, and improves security across Draganfly’s cloud-first IT environment. This hands-on role combines Microsoft 365 and cloud security…
Added 18 days ago
B
Senior Software Engineer - Trading Technology
BettingJobs
Toronto, ON
- Full-time
BettingJobs is working with a fast-growing sports betting technology business to recruit a Senior Software Engineer for its Trading Technology team. You'll build the backend engines behind…
Added 18 days ago
Senior Staff Software Engineer
Diligent Corporation
Vancouver, BC
As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of…
Added 18 days ago
N
Senior Cloud Systems Engineer (CI/CD & Data Platform)
Numeris
Toronto, ON
- Full-time
Numeris is seeking a Senior Cloud Systems Engineer to lead the design, automation, and operation of enterprise cloud platforms across AWS and Azure. This role combines deep expertise in…

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
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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