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Added 17 days ago
GS
Network Security Engineer
GlassHouse Systems
Toronto, ON
- Full-time
The Network Security Engineer will support, implement, maintain, and troubleshoot network and security infrastructure across customer, data center, and cloud environments. The engineer will…
Added 17 days ago
A
Staff Developer
AtkinsRéalis
Toronto, ON · Montreal, QC
- Full-time
Provide senior hands-on engineering leadership for the Orb enterprise data platform, combining solution delivery, technical assurance, production support, release coordination, and coaching…
Added 17 days ago
T
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 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
C
Project Estimator
CIMA+
Montreal, QC
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 17 days ago
C
Project Estimator
CIMA+
Quebec, QC
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 17 days ago
K
Senior Engineer (Mechanical/Piping Design)
Kinectrics
Kincardine, ON
- Internship
Position: Senior Engineer / Analyst (Mechanical / Piping)
Added 17 days ago
B
Electrical, instrumentation and Control Engineer
Brunel
Oakville, ON
- $61 to $88 CAD / hour
- Contract
Brunel is seeking an experienced Senior Electrical, Instrumentation & Controls Engineer to support the delivery of custom-designed water treatment projects.
Added 17 days ago
ME
Senior Protection & Control Engineer
Morson Edge (Canada)
Burnaby, BC
- $95 to $120 CAD / hour
- Contract
The Engineer E5 is a senior engineering professional responsible for delivering innovative engineering, estimating, planning, and quality management services on medium to high complexity…
Added 17 days ago
Senior SailPoint Support Engineer
KeyData Cyber
Toronto, ON
We are currently looking to hire a Senior SailPoint IIQ Support Engineer to join KeyData Cyber's Managed Services team who will step in and own our largest and most important customer…
Added 17 days ago
A
Senior Instrumentation Control and Electrical Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Come join us in reshaping the future with AtkinsRéalis. We are seeking a highly motivated Senior Instrumentation, Control & Electrical Engineer to join our Retube Tooling & Field Services…
Added 17 days ago
CO
Servicing Delivery Lead
Capital One
Toronto, ON
- Full-time
Continuously re-engineer existing workflows into target-state solutions, reducing manual effort and driving enterprise-wide operational efficiency.
Added 17 days ago
H
Senior Software Engineer - AI/ML
Hach
London, ON · Vancouver, BC · CAN - Vancouver - Aquatic Informatics ULC
- $120,000 to $145,000 CAD / year
- Full-time
Reporting to the Director of Engineering & Predictive Analytics, the Senior Software Engineer will contribute to the technical development of Aquatic Informatics' predictive analytics…
Added 17 days ago
WI
Lead Instrumentation & Control Engineer, Resources
WSP in Canada
St. John's, NL · Greater St. John's Metropolitan Area
- Full-time
…Greater Toronto Area, Saskatoon SK, St John's NL as a Lead I&C Engineer, you will support as a senior subject matter expert in the instrumentation and controls engineering for both new…
Added 17 days ago
S
Senior Project Manager - Transportation Engineering & Planning
Stantec
Ottawa, ON
- Full-time
Stantec is seeking an experienced Senior Project Manager - Transportation Engineering & Planning to complement and grow our skilled Transportation Planning & Traffic Engineering (TPTE) Team…
Added 18 days ago
IS
Senior Full stack Engineer - Node/Angular
Iris Software Inc.
Toronto, ON
- Contract
Title: Senior Full stack Engineer - Node/Angular
Added 18 days ago
UO
Project Manager, WUSA
University of Waterloo
Waterloo, ON · General Services Complex
- Full-time
Facilities - Design and Construction Services
Added 18 days ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 18 days ago
M(
[C] Salesforce Engineer / Developer
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON · Scotiabank Arena
- Part-time
MLSE is looking for a Senior Salesforce Loyalty Cloud Administrator/Developer to support the administration, configuration, development, integration, and ongoing optimization of our…
Added 18 days ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 18 days ago
EG
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Développeur(-euse) de logiciels sénior(e) (contenu)
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
A
Intermediate Geotechnical Engineer
AtkinsRéalis
Calgary, AB
- Full-time
We are currently seeking an Intermediate Geotechnical Engineer to join AtkinsRéalis’ Geotechnical team. In this role, you will support a variety of projects for clients primarily within…
Added 18 days ago
A
Senior Geotechnical Engineer
AtkinsRéalis
Toronto, ON · Vaughan, ON
- Full-time
This is a great opportunity for an experienced Geotechnical Engineer with good technical and engineering skills and a professional engineering designation - (P.Eng) to work on exciting…
Added 18 days ago
A
Senior Piping Supports Design Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
…plans and executes the engineering activities assigned by the Technical Lead and/or Technical Manager, resolves routine and complex technical issues, and seeks guidance primarily for…

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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