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Big Data Jobs in Quebec (NOW HIRING)

Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with Startups are considered a bonus * Experience working with cloud services, specifically AWS are considered ...

Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with Startups are considered a bonus * Experience working with cloud services, specifically AWS are considered ...

Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with Startups are considered a bonus * Experience working with cloud services, specifically AWS are considered ...

Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with Startups are considered a bonus * Experience working with cloud services, specifically AWS are considered ...

Experience with big data tools: Hadoop, Spark, Kafka. * Experience with relational SQL and NoSQL databases, including SQL Server and CosmosDb. * Experience with automated data pipeline and workflow ...

Manage the data lifecycle. Map collected data based on specific attributes. Validate data as it ... We are connected to communities, big and small, from coast-to-coast, offering products and services ...

Manage the data lifecycle. Map collected data based on specific attributes. Validate data as it ... We are connected to communities, big and small, from coast-to-coast, offering products and services ...

Showing results 21-40

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.

Geo Hunter Account Executive

Databricks

Montreal, QC

Full-time

Posted 22 days ago


Job description

SLSQ327R734

As a Geo Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into accounts with over $1B in Annual Revenue, or well-funded Start-ups valued over $1B. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to close net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

  • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
  • Close both new accounts and existing accounts
  • Identify and close quickly, small wins while managing longer, complex sales cycles
  • Exceed activity, pipeline, and revenue targets
  • Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution-based approach to selling and creating value for customers
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark
  • Ensure 100% satisfaction among all customers
  • Prioritize opportunities and apply appropriate resources
  • Build a plan for success internally at Databricks and externally with your accounts

What we look for:

  • 5+ years of experience exceeding sales quotas
  • Must speak fluent French
  • You have previously worked in an early-stage company, and you know how to navigate and be successful
  • Field sales experience within big data, Cloud, or SaaS sales
  • Hunter (Net-New Logo) Experience
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • Understanding of Spark and big data preferable
  • Passion for cloud technologies
  • Bachelor's Degree