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Data Engineering Jobs in Quebec (NOW HIRING)

Global Excel Management

Data Developer II

Sherbrooke, QC

CA$35.06 - CA$46/hr

This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. What does your typical ...

Global Excel Management

Data Developer II

Sherbrooke, QC · On-site

CA$35.06 - CA$46/hr

This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. What does your typical ...

Pelmorex

Senior Data Engineer, Hybrid

Montreal, QC · Hybrid

To support this mission, we're growing our Engineering Insights team and investing in a scalable data analytics and insights platform. We're looking for a Senior Data Engineer who doesn't just move ...

Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Artefact

Sr Data Analyst

Montreal, QC

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Evaluate and integrate new technologies to leverage and scale our current data science engineering stack. Generate actionable insights for business and infrastructure improvements. Votre profil ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Evaluate and integrate new technologies to leverage and scale our current data science engineering stack. Generate actionable insights for business and infrastructure improvements. Votre profil ...

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All JobsData Engineering JobsData Engineering Jobs in Quebec

Data Engineering information

See Quebec salary details

$25K

$135.7K

$228.5K

How much do data engineering jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data engineering in Quebec is $135,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $172,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning 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 in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store 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.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Quebec? The most popular types of Data Engineering jobs in Quebec are:
What are popular job titles related to Data Engineering jobs in Quebec? For Data Engineering jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Quebec look for? The top searched job categories for Data Engineering jobs in Quebec are:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Quebec as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $135,712 per year, or $65.2 per hour.

Software Developer - Data Infrastructure

Nexasphere

Montreal, QC

Full-time

Posted 13 days ago

Key responsibilities

  • Design, develop, and maintain data infrastructure microservices using C++ to process and analyze large data sets.

  • Optimize microservices for performance and scalability, ensuring efficient data processing.

  • Debug and troubleshoot software issues, providing timely resolutions.

Job description

Position Overview:

The Data Infrastructure team manages the service-oriented data storage infrastructure for the firm. We implement microservices that provide high performance solutions to access large data sets required in trading and research.

We are looking for an experienced Software Developer with a strong background in C++ to join our team. In this role, you will be responsible for designing, developing, and maintaining the data infrastructure components that support our data processing and analytics pipelines. You will work closely with data engineers, data scientists, quantitative researchers and other stakeholders to ensure efficient and reliable data retrieval, processing and storage.

  • Design, develop, and maintain data infrastructure microservices using C++ to process and analyze large data sets
  • Optimize microservices for performance and scalability, ensuring efficient data processing
  • Debug and troubleshoot software issues, providing timely resolutions
  • Stay up-to-date with industry trends and advancements in C++ programming and data engineering technologies
  • Write clean, maintainable, and efficient code, following coding best practices and standards
  • Participate in code reviews to ensure code quality and consistency
  • Collaborate with support teams to ensure smooth deployment and operation of microservices
  • Contribute to the overall software architecture and design of data processing and analytics pipelines

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related subject
  • 4+ years of professional software engineering experience
  • Proficiency in C++
  • Experience working on microservices and/or asynchronous multithreaded applications
  • Ability to work in a fast-paced, deadline-driven environment.
  • Strong problem-solving and debugging skills
  • Experience working in a Linux environment
  • Excellent communication skills, comfortable interacting directly with stakeholders
  • Willingness to pick up and learn new technologies and frameworks

Nice to have:

  • Knowledge of databases, SQL
  • Familiarity with Boost ASIO
  • Familiarity with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers, Flatbuffers
  • Experience with gRPC, http/REST and Websocket protocols
  • Experience with Google Cloud/AWS and/or containerization in Docker/Kubernetes
  • Experience with highly available distributed systems and working with large datasets
  • Experience with other programming languages such as Rust, Python and Q is a plus