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Programmer Programmer Jobs in Trois Rivieres, QC

Progi

Senior Cloud Data Engineer

Trois-rivieres, QC

En tant que Senior Cloud Data Engineer chez Progi, vous serez responsable de la transformation et orchestration de la plateforme de données cloud , avec un focus particulier sur les couches Silver ...

Progi

Senior Cloud Data Engineer

Trois-rivieres, QC

En tant que Senior Cloud Data Engineer chez Progi, vous serez responsable de la transformation et orchestration de la plateforme de données cloud , avec un focus particulier sur les couches Silver ...

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What is the difference between Programmer Programmer vs Software Developer?

AspectProgrammer ProgrammerSoftware Developer
Required CredentialsTypically a diploma or degree in computer science or related fieldSimilar credentials, often with additional certifications or experience
Work EnvironmentOften focused on coding tasks within development teamsInvolves designing, coding, testing, and maintaining software applications
Employer & Industry UsageUsed across tech companies, startups, and IT departmentsCommon in software firms, tech giants, and enterprise IT
Search & Comparison IntentPeople compare to understand roles, skills, and career pathsOften compared to programmers for clarity on responsibilities

While both Programmer Programmer and Software Developer roles involve coding and software creation, Software Developers typically have broader responsibilities including design and testing, whereas Programmers focus mainly on writing code. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a Programmer, and why are they important?

To thrive as a Programmer, you need strong analytical thinking, coding proficiency in languages such as Python, Java, or C++, and a relevant degree or equivalent experience. Familiarity with development environments, version control systems like Git, and possibly certifications such as Microsoft Certified: Azure Developer are often required. Problem-solving abilities, attention to detail, and effective teamwork are standout soft skills in this role. These skills ensure that programmers can build reliable software, adapt to changing requirements, and contribute effectively to collaborative development projects.

What jobs pay 500,000 a year in the US?

High-paying roles for programmers or software engineers can reach $500,000 annually, typically in senior positions such as principal engineers, engineering managers, or executives at large tech companies. These roles often require extensive experience, advanced skills in areas like cloud computing or AI, and sometimes stock options or bonuses as part of compensation packages.

What are programmers?

Programmers, also known as software developers or coders, are professionals who write, test, and maintain computer programs and software applications. They use programming languages such as Python, Java, C++, or JavaScript to create software solutions that meet user needs or solve specific problems. Programmers often work as part of a team to design, develop, and improve software systems, ensuring that programs run efficiently and securely. Their responsibilities may also include debugging code, updating existing software, and collaborating with other IT professionals to deliver high-quality products.

What jobs pay $10,000 a month without a degree?

Programmers can earn $10,000 or more per month through freelance work, remote contracts, or building specialized skills in high-demand areas like software development, web development, or app creation. Success often depends on experience, portfolio, and proficiency with programming languages such as Python, JavaScript, or Java, rather than formal degrees.

What jobs in the US pay 300,000 a year?

For programmers, roles such as senior software engineers, technical leads, and specialized developers in fields like finance, cloud computing, or AI can reach or exceed $300,000 annually, especially with experience, advanced skills, and sometimes bonuses or stock options. High-paying programming jobs often require expertise in specific technologies, certifications, and working in high-demand industries or companies.

What are some common challenges programmers face when working on large-scale projects?

Programmers working on large-scale projects often encounter challenges such as managing complex codebases, ensuring effective communication within cross-functional teams, and maintaining code quality as the project evolves. Balancing rapid development with thorough testing and documentation can also be demanding. Additionally, integrating new features without introducing bugs or technical debt requires careful planning, collaboration, and adherence to best practices like version control and code reviews.

Is 27 too late to start coding?

Starting a programming career at 27 is common and feasible, as many programmers begin learning at various ages. Success depends on dedication, learning resources, and building skills through practice and projects, regardless of age.
What cities near Trois-Rivieres, QC are hiring for Programmer Programmer jobs? Cities near Trois-Rivieres, QC with the most Programmer Programmer job openings:
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Infographic showing various Programmer Programmer job openings in Trois-Rivieres, QC as of June 2026, with employment types broken down into 86% Full Time, 5% Part Time, 8% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior Cloud Data Engineer

Progi

Trois-rivieres, QC

Full-time

Posted yesterday

Job description

En tant que Senior Cloud Data Engineer chez Progi, vous serez responsable de la transformation et orchestration de la plateforme de données cloud, avec un focus particulier sur les couches Silver et Gold (BigQuery, Dataform, Cloud Composer).

Votre rôle sera central dans l’évolution de notre plateforme vers un modèle data-driven avancé, incluant l’optimisation des coûts, la performance des pipelines et la mise en place des premières capacités en Machine Learning / AI en production.

Vous agirez en propriétaire end-to-end des pipelines de données (architecture medallion) et contribuerez activement à bâtir une plateforme robuste, performante et prête pour les usages analytiques et prédictifs.
Responsabilités principales

Ownership de la plateforme data (Medallion)

  • Concevoir, construire et maintenir les couches Silver et Gold dans BigQuery
  • Assurer l’implémentation complète d’une architecture Medallion (bronze / silver / gold)
  • Garantir la qualité, la cohérence et la scalabilité des datasets
Orchestration & pipelines
  • Développer et maintenir des pipelines ELT/ETL avec Dataform et Cloud Composer
  • Orchestrer les workflows de transformation et de chargement de données
  • Assurer un monitoring fiable des pipelines en production
Ingestion de données
  • Implémenter des stratégies d’ingestion via :
    • APIs
    • Bases de données (MySQL, etc.)
  • Standardiser les flux d’ingestion pour assurer leur robustesse et leur réutilisabilité
Optimisation BigQuery (clé du rôle)
  • Optimiser les coûts et les performances des workloads BigQuery
  • Mettre en place des bonnes pratiques :
    • partitioning / clustering
    • query optimization
    • data lifecycle management
  • Suivre et améliorer en continu l’efficacité de la plateforme
Data & Machine Learning enablement
  • Collaborer à la mise en place des premiers cas d’usage ML/AI
  • Préparer les données pour des pipelines de machine learning en production
  • Participer à l’intégration avec les outils GCP liés au ML (ex : Vertex AI)
CI/CD & bonnes pratiques
  • Contribuer à la mise en place et l’amélioration des pipelines CI/CD (Git, automatisation)
  • Appliquer les standards d’ingénierie modernes (tests, versioning, documentation)
Collaboration
  • Travailler étroitement avec les équipes BI, produit et techniques
  • Participer à la définition des besoins analytiques et des modèles de données
  • Promouvoir une culture de data engineering orientée performance et valeur métier
Profil recherché Expérience
  • Minimum 5 ans d’expérience en data engineering
  • Minimum 2 ans sur Google Cloud Platform (GCP)
Compétences techniques
  • Excellente maîtrise de :
    • SQL (avancé)
    • Python
  • Expérience solide avec :
    • BigQuery
    • Dataform
    • Cloud Composer
  • Bonne compréhension des architectures :
    • Data warehouse
    • Medallion architecture
Expérience pratique souhaitée
  • Construction de pipelines de données en production
  • Optimisation des coûts et performance BigQuery
  • Migration ou modernisation vers le cloud
  • Expérience avec des projets de Machine Learning (atout fort)
Atouts
  • Expérience avec CI/CD et Git
  • Connaissance des outils d’ingestion (API, bases transactionnelles)
  • Expérience dans un environnement data à forte volumétrie
Ce qui différencie ce rôle
  • Ownership complet de la couche de transformation (pas juste builder)
  • Impact direct sur :
    • les coûts cloud
    • la performance data
    • la stratégie AI/ML
  • Rôle hybride Data Engineer + Data Platform + AI en devenir
La connaissance de l'anglais est essentiel afin d'accomplir sa prescription de travail avec les différentes parties prenantes.
  • Excellente maîtrise de :
    • SQL (avancé)
    • Python
  • Expérience solide avec :
    • BigQuery
    • Dataform
    • Cloud Composer
  • Bonne compréhension des architectures :
    • Data warehouse
    • Medallion architecture
  • Expérience pratique souhaitée
    • Construction de pipelines de données en production
    • Optimisation des coûts et performance BigQuery
    • Migration ou modernisation vers le cloud
    • Expérience avec des projets de Machine Learning (atout fort)

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