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Big Data Engineer Jobs in Quebec (NOW HIRING)

Targeted Talent

Senior Data Engineer

Quebec, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Targeted Talent

Senior Data Engineer

Montreal, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Targeted Talent

Senior Data Engineer

Quebec, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Targeted Talent

Senior Data Engineer

Montreal, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Fed IT

Data Engineer

Montreal, QC · On-site

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Fed IT

Data Engineer

Laval, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Fed IT

Data Engineer

Longueuil, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks. Robust ...

Caeus

Senior Data Engineer

Montreal, QC

Our engineers are the technical visionaries driving our innovative solutions. Renowned globally for ... Design, build, andmaintaindata pipelines using SQL and big data tools such as Spark, Kafka,orHadoop.

Apertera

Data Engineer (Team Lead)

Montreal, QC · On-site

Collaboration Role Overview As the Data Engineering Team Lead, you will be the technical lead and people manager for a specialized team at the intersection of Big Data, Global Communications, and ...

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All JobsBig Data Engineer JobsBig Data Engineer Jobs in Quebec

Big Data Engineer information

See Quebec salary details

$31

$62

$86

How much do big data engineer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for big data engineer in Quebec is $62.68, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.39 per hour, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for integrating AI tools effectively and ensuring data quality and security.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What is the job of a big data engineer?

A big data engineer designs, builds, and maintains large-scale data processing systems and pipelines using tools like Hadoop, Spark, and Kafka. They ensure data is collected, stored, and processed efficiently to support analytics and business insights, often working with cloud platforms and scripting languages such as Python or Scala.

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

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

Will AI replace ETL?

Big Data Engineers design and manage ETL (Extract, Transform, Load) processes to prepare data for analysis. While AI and automation tools can optimize and assist with ETL tasks, they are unlikely to fully replace the role, as human oversight is essential for complex data integration and quality assurance. Skills in scripting, data modeling, and understanding data workflows remain critical in this field.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.

What engineers make $500,000?

Senior Big Data Engineers with extensive experience, advanced skills in distributed systems, cloud platforms, and data architecture can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data projects.
More about Big Data Engineer jobs
What are popular job titles related to Big Data Engineer jobs in Quebec? For Big Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Big Data Engineer jobs in Quebec look for? The top searched job categories for Big Data Engineer jobs in Quebec are:
What are popular job titles related to Big Data Engineer jobs in QC? For Big Data Engineer jobs in QC, the most frequently searched job titles are:
Big Data Engineer jobs near you
Infographic showing various Big Data Engineer job openings in Quebec as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $130,384 per year, or $62.7 per hour.
Senior Data Engineer

Senior Data Engineer

Targeted Talent

Quebec, QC • Remote

Full-time

Posted 23 days ago

Job description

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've likely used.
Within this role, you'll have the chance to work on an application that is used by millions of users daily. With your expertise in BI, Data warehousing and big data you'll contribute to the expanding expertise of the team and keep data components current!

You Have:

  • Minimum 5+ years professional working experience as a Data Engineer
  • Strong experience working with both batch and real-time ETL involving large data sets
  • Experience mentoring and guiding Junior Data Engineers in previous roles
  • Strong Experience working with SQL and large data sets
  • Hands-on experience coding in Python is required
  • Experience working with Business Intelligence and Data Warehousing
  • Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
  • Experience with REST API's

Some AWESOME selling points:

  • Remote + flexible work schedule
  • North of six figures salary + Equity + Health Spending Account (it's competitive)
  • Amazing opportunity for career progression to lead
  • Amazing mentorship (seriously)
  • Plenty of vacay
  • RRSP Matching
  • Team budget for education for employees

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)


* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

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About Targeted Talent

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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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