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Data Engineer Jobs in Quebec (NOW HIRING)

Data Engineer

Montreal, QC · On-site +1

CA$80 - CA$85/hr

Data Engineer Type: Contract 37.5 hrs/week Location: Montreal area, but can be remote Duration: 6 months initially until fiscal year end, then 6-12 month extension Rate: $80-85/hr C2C Position ...

With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and ...

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 ...

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 ...

The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and ...

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 ...

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 ...

The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and ...

We are looking for an experienced Junior 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 ...

We are looking for an experienced Junior 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 ...

We are looking for an experienced Junior 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 ...

We are looking for an experienced Junior 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 ...

We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid experience in modern data engineering. The ideal candidate has experience with Python, Spark, Git ...

Nous recherchons une personne pour rejoindre une equipe dynamique en tant qu' Ingenieur(e) Data pour l'un de nos clients. Ce poste est destine a un role d'ingenierie des donnees au sein de l'equipe ...

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 ...

Translating complex, ambiguous requirements into resilient data engineering architecture designs. Tell us what needs built, not the other way around. Effective use of data is a core focus for the ...

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Data Engineer information

See Quebec salary details

$60K

$122.6K

$181K

How much do data engineer jobs pay per year?

As of Jul 28, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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:
Infographic showing various Data Engineer job openings in Quebec as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,622 per year, or $59 per hour.

Data Engineer

Tech Talent International

Montreal, QC • On-site, Remote

CA$80 - CA$85/hr

Full-time

Posted 12 days ago


Job description

Tech Talent International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US and Europe.

We currently have a role as a Data Engineer with our large consulting client on a long term project with a major manufacturing client in the Montreal area.

Role: Data Engineer

Type: Contract 37.5 hrs/week

Location: Montreal area, but can be remote

Duration: 6 months initially until fiscal year end, then 6-12 month extension

Rate: $80-85/hr C2C

Position Overview

Our client is looking for a Data Engineer to join our team and bring the analytics practice to the next level. They are looking for a motivated person who thrives in a dynamic and challenging environment, who loves working with tools on the edge, who has no problem switching between multiple programming languages, and who is able to find out-of-the-box solutions to solve complex problems.

In this role, you will be at the heart of the definition and implementation of world-class analytics solutions, and you will contribute to set data as a strategic advantage for the manufacturing client.

Responsibilities

Design, develop, implement and support robust ETL/ELT/Data Pipelining solutions

Coordinate with multiple development teams to achieve delivery objectives

Provide support in requirements definition, estimation, development and delivery of robust and scalable solutions

Development and support of real-time data ingestion processes from various data sources

Development and support of data models optimized for business intelligence usage

Build integrations with APIs from external providers such as Google, Facebook, Salesforce, SAP and others

Adhering to industry standards and laws such as GDPR and SOX

Be a leader in best-practices definition and creative thinking

Required Skills

Master Degree in Computer Science, Business Intelligence or equivalent

Solid and demonstrated experience on following technologies:

Snowflake

DBT

Microsoft SQL Server

Power BI

Git

Fluent in various programming languages such as:

SQL

Python

Understands and puts into practice data modeling, design and development of solid ETL/ELT data pipelines

Fluent in writing, executing and optimizing complex SQL queries

Experience implementing API Service architectures ( REST)

Develop clean and maintainable code in a CI-CD Environment

Experience in using cloud BI technologies such as Azure or similar

Experience in translating business requirements into advanced data models able to fulfill analysts and data scientists requirements

Experience in data profiling

Experience in working within an agile team to build big data / analytics solutions

Strong interpersonal relations, motivated and loves to work on multiple challenging projects

Strong communication skills, both speaking or writing

Fluent in English. French or Portuguese is a great asset

Open-minded and able to adapt to new ways of working (data vault, event-driven architecture, unstructured data, self-service analytics, etc..)

Well organized and able to self-prioritize, sometimes with conflictual deadlines

Strong communication skills, both speaking or writing, ideally in both french and english

Continuously seeks for improvements and craves to put hands on new technologies