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Data Engineer Jobs in Quebec (NOW HIRING)

Targeted Talent

2 - Senior Data Engineer

Quebec, QC · On-site

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Targeted Talent

2 - Senior Data Engineer

Quebec, QC · On-site

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Targeted Talent

2 - Senior Data Engineer

Montreal, QC · On-site

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

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 ...

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 ...

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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All JobsData Engineer JobsData Engineer Jobs in Quebec

Data Engineer information

See Quebec salary details

$60K

$122.6K

$181K

How much do data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data engineer in Quebec is $122,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Quebec? The most popular types of Data Engineer jobs in Quebec are:
What are popular job titles related to Data Engineer jobs in Quebec? For Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Quebec look for? The top searched job categories for Data Engineer jobs in Quebec are:
What cities in Quebec are hiring for Data Engineer jobs? Cities in Quebec with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in QC? For Data Engineer jobs in QC, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Quebec as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $122,622 per year, or $59 per hour.

Associate Data Engineer

Confluence Technologies

Montreal, QC • Hybrid

Full-time

Posted 7 days ago

Job description

Location - Pittsburgh, Boston, Toronto or Montreal
 
Why Confluence? 

At Confluence, we've always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.

We're looking for an Associate Data Engineer to join our growing data platform team. In this role, you'll work closely with experienced engineers and analysts to build reliable data pipelines and help shape how data flows across the organization.

This is a hands-on, development-focused opportunity where you'll be writing code daily, solving real data challenges, and contributing to scalable data solutions-not just maintaining systems. It's a great role for someone early in their career who is eager to learn, collaborate, and develop their technical skills in a modern data environment.
Why Should You Apply?
  • Work in a collaborative team where learning and mentoring are part of the culture
  • Gain hands-on experience with modern data tools and technologies
  • Build a solid foundation for a long-term career in data engineering
  • Contribute to meaningful projects that support real business decisions
What We're Looking For
  • Some hands-on experience with Python for data processing or automation
  • Good working knowledge of SQL, including working with larger datasets
  • Exposure to ETL pipelines or data workflows (academic, internship, or professional experience)
  • Understanding of data modelling or transformation concepts
  • Comfortable working in a collaborative, code-first environment
Nice to Have
  • Experience with Snowflake
  • Exposure to cloud platforms like AWS, Azure, or GCP
  • Familiarity with orchestration tools (e.g., Airflow)
  • Interest or exposure to financial data environments

Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:
Generous Time Off packages including additional half days with each public holiday in your location.
  Global Career Development opportunities
Social Events 
Referral Bonus scheme - Upto $3,000 per successful referral
  Plus many more!
 
More about the Location
We offer flexible working options for all employees.
 
 #LI-Hybrid
 
Values
We look for people who align with our 4 values. 
 
Integrity
Face reality with honesty, courage and accountability
Imagination
Deal creatively with challenges and envision what the world could be
Discipline
Build good habits into reflexes which become a part of our life
Service
Committed to the success of others

If you would like to find out more about a Career at Confluence, please apply today.
If you believe that this job posting is noncompliant, please email us at recruitment@confluence.com.
Pre-Employment Screening Disclaimer
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.
Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.

Apply