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Added 12 mins ago
M
Senior DevOps Engineer
Miovision
Remote, Canada
- $130,000 to $170,000 CAD / year
- Full-time
- Remote
…continuous delivery requirements, overall security posture, and developer experience. Before our smart intersection technology can clear the road for emergency vehicles or optimize transit…
Added 27 mins ago
L
Senior Data Engineer
Luxoft
Toronto, ON
- Contract
…This role focuses on implementing reliable data solutions in a cloud-native environment using established platform tooling and patterns. You are expected to independently design and deliver…
Added 42 mins ago
M
IAM Sr. Developer, IGA
McKesson
Mississauga, ON
- Full-time
Familiarity with DevSecOps, security architecture governance, and cloud-native security controls.
Added 42 mins ago
M
Lead IGA Solution Architect
McKesson
Mississauga, ON
- Full-time
Familiarity with DevSecOps, security architecture governance, and cloud-native security controls.
Added 56 mins ago
TI
CyberSecurity Architect
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
…teaming; autonomous penetration testing; agent security; AI-native security tooling; cybersecurity startup, founder, or early-stage product experience; experience presenting or pitching to…
Added 1 hour ago
DI
Development Lead – Angular, AWS & Mobile
Dawn InfoTek
Toronto, ON
- Contract
…the development of scalable, secure, and high-quality web, cloud, and mobile applications. The role will focus on Angular, AWS Lambda, and mobile application development, particularly for…
Added 1 hour ago
S
Executive Assistant and Office Manager
SpryPoint
Charlottetown, PE
- Full-time
…status quo in the utility industry with the first and only truly cloud-native customer service and operations platform purpose-built for modern…
Added 1 hour ago
A
Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Design and optimize distributed pipeline and cloud orchestration for large-scale AI workloads using appropriate workflow orchestration and cloud-native technologies
Added 1 hour ago
I
Software Architect (AWS/Azure) - Canada
Intelerad
Canada
- Full-time
…delivery infrastructure. In this role, you will turn DevOps and cloud-native best practices into reliable pipelines, automation, and tooling that help R&D teams ship high-quality software…
Added 1 hour ago
KG
Enterprise Security Architect - Senior Security Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Drive adoption of Infrastructure-as-Code security, DevSecOps, and cloud-native security services.
Added 1 hour ago
Forward Deployed Engineer, Application & Infrastructure - Technology Strategy & Transformation
EY
Toronto, ON
Design and implement modern application architectures using cloud-native, containerized, API-led, and event-driven patterns.
Added 1 hour ago
Product Architect, AI (Auth0)
Okta
Toronto, ON
This is a senior, highly strategic, and deeply hands-on role. You will work across Product, Engineering, Security, Developer Relations, Design, Go-to-Market, and our customer community to…
Added 2 hours ago
F/
DevOps Developer (Platform Engineering)
FCC / FAC
Regina, SK
- Full-time
As a DevOps Developer on our Platform Engineering team, you'll design, build, automate and support the cloud platforms and infrastructure that power enterprise technology across the…
Added 2 hours ago
SI
Senior Developer
SAP IT Business Systeme
Montreal, QC
- $108,100 to $222,800 CAD / year
- Full-time
We are looking for a dynamic and motivated Senior Software Developer who embrace AI-assisted software development as part of their everyday engineering practice to join our engineering…
Added 2 hours ago
SI
Software Developer
SAP IT Business Systeme
Montreal, QC
- $77,500 to $166,200 CAD / year
- Full-time
We are looking for a dynamic and motivated Software Developer who embrace AI-assisted software development as part of their everyday engineering practice to join our engineering team. The…
Added 2 hours ago
M(
Full-Stack Developer - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Nice to have: GraphQL, React Native, or SQL database experience. For this area, we also value: Experience with search technology, authentication and identity, design systems or component…
Added 2 hours ago
M(
Full-Stack Developer - Core
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Strong written and verbal communication: you can explain a technical tradeoff to a designer or a support lead as easily as to another developer.
Added 2 hours ago
R
Software Engineer
RBC
Toronto, ON
- Full-time
Cloud-native and microservices-based solutions
Added 2 hours ago
S
Senior Applications Developer- Mobile Apps (React Native)
Sobeys
Mississauga, ON
- Full-time
…currently have a full-time opportunity for a Senior Applications Developer. This role is based is based out our office located in Mississauga,…
Added 2 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
Containerize services and contribute to cloud-native deployment patterns, configuration management, and environment consistency.
Added 2 hours ago
B
Greenfield Full Stack Developer
Boeing
Richmond, BC · CAN - Richmond, Canada
- Full-time
Boeing Vancouver is seeking a Greenfield Full Stack Developer to support end-to-end software delivery within our digital aircraft maintenance product suite. This role is grounded in strong…
Added 2 hours ago
FS
Mobile Application Developer
Focus Systems Inc.
Canada
- Contract
Focus Systems is seeking an experienced Mobile Application Developer and Support Analyst to support SAP development, operations, and maintenance activities.
Added 2 hours ago
RI
Senior Oracle Apps AI Developer
Raas Infotek
ON · Ontario, Canada
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…
Added 2 hours ago
N
Software Developer - Cloud Platform
Nakisa
Montreal, QC
- Full-time
As a Software Developer on our Platform Engineering team, you will help design, build, and maintain the cloud-native services and tools that power Nakisa's product portfolio for Fortune…
Added 2 hours ago
Y
Senior Technical Lead-Oracle Cloud- Oracle AI
Yochana
ON · Ontario, Canada
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…

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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