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Big Data Jobs in Quebec (NOW HIRING)

Assurer le développement d'une plateforme de grande envergure qui opère dans un environnement a forte capacité et haute concurrence sur les bases de données (Big Data); * Travailler sur des ...

Technical Skills Programming Core Java (Java 8/11/17+) Collections Framework Multithreading & Concurrency JVM Performance Tuning Object-Oriented Design Big Data & Distributed Processing Apache Spark ...

Connaître l'industrie 4.0 (IA, IOT, Big Data); * Être créatif et innovant; * Démontrer de l'initiative et de l'autonomie; * Maîtriser le français et anglais, tant à l'oral qu'à l'écrit. Vous ...

Experience with modern data warehouse platforms (e.g., Snowflake), big-data processing, or analytics pipelines * Familiarity with search/indexing technologies and building pipelines to populate ...

Data Analyst

Montreal, QC · On-site

CA$64K - CA$69K/yr

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and Engagement Systems Details: Full-Time, permanent position, unionized, four day work week, Monday to ...

Data Analyst

Montreal, QC · On-site +1

CA$64K - CA$69K/yr

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and Engagement Systems Details: Full-Time, permanent position, unionized, four day work week, Monday to ...

More specifically Analytics, Digital Marketing, Big Data, Insights, Customer 360, Artificial Intelligence (AI), Machine Learning and Internet of Things (IOT). In addition, we offer Consulting ...

The Data Architect is responsible for designing and evolving enterprise data architecture while actively contributing to the execution and continuous improvement of the organization's data governance ...

Actuarial Analyst III

Montreal, QC · On-site +1

CA$130/hr

Knowledge of modern data architecture and big data technologies (Databricks, Snowflake, Spark, etc.) Who We Are: As part of TD Bank Group, one of Canada's largest financial institutions, at TD ...

Data Analyst Reports To: Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing software company with a mission to make buying, selling, and delivering out ...

Showing results 41-60

Big Data information

See Quebec salary details

$23K

$122.8K

$199K

How much do big data jobs pay per year?

As of Aug 21, 2026, the average yearly pay for big data in Quebec is $122,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a big data?

A Big Data job involves managing, analyzing, and interpreting large volumes of data to help organizations make data-driven decisions. Professionals in this field work with technologies like Hadoop, Spark, and SQL, and use programming languages such as Python or Java. Roles can vary from data engineers who build data pipelines to data scientists who apply machine learning models. The goal is to extract meaningful insights from complex datasets to improve business operations and strategies.

What are the typical daily responsibilities in a big data role?

Professionals working in Big Data roles often spend their days collecting, cleaning, and processing large and complex datasets using various data technologies. They design data models, write complex queries, and develop algorithms to extract actionable insights for business stakeholders. Collaboration with data scientists, software engineers, and business analysts is common, as projects frequently require cross-functional teamwork. Additionally, staying up to date with emerging tools and maintaining data security are critical ongoing tasks.

What are the key skills and qualifications needed to thrive in a big data position?

To thrive in a Big Data role, you need strong analytical abilities, proficiency in programming languages like Python or Java, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Experience with big data tools such as Hadoop, Spark, and NoSQL databases, as well as certifications like Cloudera Certified Data Engineer, are highly valuable. Problem-solving skills, attention to detail, and effective communication are essential soft skills for success. These abilities enable professionals to manage, analyze, and interpret vast datasets to drive business decision-making and innovation.

Is big data still in demand?

Big Data professionals are in high demand across industries such as finance, healthcare, and technology due to the increasing reliance on data analytics and cloud computing. Skills in tools like Hadoop, Spark, and data modeling enhance job prospects, and certifications can improve employability in this evolving field.

What jobs are in big data?

Jobs in big data include roles such as Data Engineer, Data Scientist, Big Data Analyst, and Data Architect. These positions typically require skills in programming languages like Python or Java, knowledge of big data tools such as Hadoop or Spark, and experience with data modeling and database management. Certifications in data management or cloud platforms can also enhance job prospects.

What are popular job titles related to Big Data jobs in Quebec?

For Big Data jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Big Data jobs in Quebec look for?

The top searched job categories for Big Data jobs in Quebec are:

Infographic showing various Big Data job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,784 per year, or $59 per hour.

Développeur Full-Stack

Dialog Insight

Quebec, QC • On-site

Full-time

Re-posted 7 days ago


Job description

Tu veux mettre ton expertise full stack au service d’une plateforme SaaS robuste, performante et en constante évolution et faire partie d’une équipe de Développeurs et Développeuses d’expérience ?

Chez Dialog Insight, tu auras l’occasion de

  • Assurer le développement d’une plateforme de grande envergure qui opère dans un environnement a forte capacité et haute concurrence sur les bases de données (Big Data);
  • Travailler sur des projets d’Intelligence Artificielle;
  • Participer à l’élaboration de solutions technologiques et aux analyses;
  • Concevoir et programmer les fonctionnalités systèmes et les interfaces web pour interagir avec celles-ci;
  • Participer à la maintenance et l’amélioration de notre plateforme;
  • Participer aux phases de test afin d’assurer la qualité des développements;
  • Amener ta contribution à la réussite de l’entreprise.

Ton profil

  • Formation universitaire en informatique ou génie logiciel;
  • Maîtrise des langages de programmation tels que C# et Javascript;
  • Bonne connaissance d’un framework de développement web comme Vue.JS ou équivalent;
  • Solide compréhension des bases de données relationnelles (MS SQL Server);
  • À l’aise avec les outils de conteneurisation (Docker) et de déploiement (Azure DevOps);
  • Sens de l’écoute, rigueur, débrouillardise, curiosité, autonomie et capacité de travailler en équipe.
  • C’est un atout si tu as aussi :
  • Une expérience en IA.
  • Notre environnement technologique : C#, Vue.JS, .NET Core, Web API, Docker, MS SQL Server, Git, Azure DevOps, Visual Studio, Github copilot, Vitest, Cypress.

Dialog Insight c’est :

  • Entreprise née à Québec qui œuvre dans le marketing personnalisé depuis maintenant 25 ans;
  • Un leader en technologie de gestion de campagnes multicanal et de la gestion de la relation client personnalisée (CDP);
  • Une technologie d’avant-garde pour répondre aux défis des marketers d’aujourd’hui pour enrichir l’expérience de leur clientèle;
  • Orientation client, souplesse, engagement, distinction et intégrité ; cinq valeurs qui guident nos décisions au quotidien;
  • Plus de 70 collègues répartis dans trois bureaux (Québec, Montréal et France);
  • Un fonctionnement en télétravail avec Teams;
  • Des défis quotidiens et une équipe pour t’appuyer.

 

Processus de recrutement et protection des données personnelles :

 

Les candidatures reçues, incluant les CV et lettres de motivation, seront conservées pendant une durée maximale de 12 mois à des fins de recrutement. Passé ce délai, elles seront supprimées, sauf si vous nous avez donné votre consentement pour qu’elles soient conservées plus longtemps. Vous pouvez à tout moment exercer vos droits d’accès, de rectification ou de suppression de vos données en contactant rh@dialoginsight.com.