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Big Data Engineer Jobs in Quebec (NOW HIRING)

Accenture

Sales Lead - Data & AI Services, Canada

Quebec, QC · On-site

CA$186K - CA$233K/yr

Accenture's Data & AI practice helps organizations across Canada define, build, and scale data- and AI-led transformations. We partner with leading technology providers and ecosystem partners to help ...

Caeus

C-IT-105 Data Specialist intern

Montreal, QC · On-site +1

CA$250/wk

... data specialist / data engineers. You will thus participate in CAE's Data Strategy and its ... Experience with big data tools: Hadoop, Spark, Kafka. * Experience with relational SQL and NoSQL ...

Societe Generale

Programmer Analyst

Montreal, QC · On-site

Document data engineering processes, data flows, and system configurations to facilitate knowledge ... Hands-on experience with Apache Spark and Databricks for big data processing and transformation.

AlayaCare

Staff Data Developer

Montreal, QC

Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products. As a senior member of the team, you'll ...

BRP

Develop and maintain data transformation pipelines (ELT/ETL) in collaboration with Data Engineering teams. Actively participate in analytical architecture decisions (modeling choices, standards ...

Mcgill

Research Software Developer

Montreal, QC · On-site

... curated health data, with open-access repository. The C-BIG Repository is an Open Science ... Reporting to the Senior Research Software Developer, the candidate will support the design ...

Mcgill

Research Software Developer

Montreal, QC

... curated health data, with open-access repository. The C-BIG Repository is an Open Science ... Reporting to the Senior Research Software Developer, the candidate will support the design ...

Norda Stelo

Notre expertise est diversifiée, et vous? À titre d'ingénieur ou ingénieure en automatisation ... Connaître l'industrie 4.0 (IA, IOT, Big Data); Être créatif et innovant; Démontrer de ...

Norda Stelo

Notre expertise est diversifiée, et vous? À titre d'ingénieur ou ingénieure en automatisation ... Connaître l'industrie 4.0 (IA, IOT, Big Data); * Être créatif et innovant; * Démontrer de ...

Global Excel Management

Data Developer II

Sherbrooke, QC

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data technologies and ...

Global Excel Management

Data Developer II

Sherbrooke, QC

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data technologies 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 Aug 6, 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.

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 are the key skills and qualifications needed to thrive as a Big Data Engineer?

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.

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.
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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 August 2026, with employment types broken down into 51% Temporary, and 49% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,384 per year, or $62.7 per hour.

Senior R&D Data Scientist

Triton Digital Canada Inc.

Montreal, QC • On-site

Full-time

PTO

Re-posted 21 days ago

Job description

We are looking for a Senior R&D Data Scientist to join our Data Science R&D team at Triton Digital. We are using data engineering, data analysis, data science methods and machine learning algorithms to develop innovative solutions for our advertising and audience measurement platforms for podcast and radio. We are analysing vast amounts of data to understand the listeners' interests in specific podcast shows and radio stations, as well as their listening behaviors across media types and time, to improve the way me measure audiences and target them with specific ads.
As a Senior R&D Data Scientist, you will report to the Director of Data Science and will work with the other members of the Data Science team as well as other teams at Triton Digital (including big data developers, POs, PMs) to develop and implement data driven innovative solutions into our advertising and measurement platforms for podcast and radio. Your knowledge and experience allow you to work efficiently from the early, and highly challenging stages of experimentation, all the way to obtaining full-scale data science products ready to be implemented in production through cross-functional collaboration. You will work in an Agile environment adapted to suit the needs of R&D work.
You will have the opportunity to work in an industry where creating pioneering solutions to address business challenges will be a part of your daily routine. In our ever-evolving industry, every project requires a collaborative and customized approach that can be transparently validated through extensive exploratory data analysis techniques and easily explained to technical and non-technical stakeholders. Therefore, if you are someone who likes to roll up their sleeves and do the work that needs to be done, who is a good communicator, an enthusiastic team player, who likes to think outside the box and embraces a good challenge this position is for you.
Qualifications
  • Minimum education requirement: BSc or MSc in computer science or a STEM field with courses in statistical analysis or other advanced data analysis disciplines.
  • Minimum 5 years of work experience in a business environment using Python, PySpark or Scala, with a minimum of 3 years worked as a main contributor to create, validate and help implement data-driven solutions in PySpark or Scala, where you used advanced data aggregation techniques, statistical methods and ML algorithms.
  • Proven track record of using judgment and decision skills to interpret results, to communicate, and to carry out R&D data science work in a result-driven manner.
  • Proven track record of using exploratory data analysis to understand the input data and the results, and to investigate problems to find the causes and create solutions.
  • Ability to work under pressure, learn continuously and pivot to correct the course of the R&D data science work.
  • Ability to focus on the problem and use creative approaches efficiently from the early stages of a project when there are more unknowns than knowns.
  • Ability to work both independently and collaboratively within the Data Science team and with cross-functional teams.
  • Strong communication and time management skills.
Responsibilities
  • Collaborate within the team and cross-functionally to help define the project stages and help select the best approaches at each stage.
  • Collaborate within the team to form hypothesis and plan the experimental work at each project stage.
  • Test and compare different methods and algorithms during the experimental project phases.
  • Produce high quality code in PySpark that is easily reviewed by others and easily incorporated into the project's data processing pipeline.
  • Produce methodologies that lead to explainable results. Select the most appropriate R&D methodology for solving the business problem at hand, given that black box algorithms might not be suitable most of the time.
  • Perform extensive data analyses on the input data at the beginning of a project to understand its issues, the value of the information that can be extracted from it, as well as its applicability to solve the problem at hand.
  • Innovate to create and validate variables and use them as input data to train machine learning models, create custom logic rules, or a combination of both.
  • Perform extensive data analyses on results throughout the course of a project to validate them, or to debug inaccuracies and create solutions to address them.
  • Iterate quickly by taking decisions based on results to validate or adjust the course of action for the subsequent analysis steps.
  • Prepare results dashboards and presentation materials to explain work progress and outcomes to decision makers, project stakeholders, and during sprint reviews or team meetings.
  • We work with data that presents us with multiple interesting challenges and interesting problems. You will maintain a strong focus on the work priority to solve the problem at hand.
  • Document methodologies and results in systems such as Confluence and Jira.
Triton Digital is an equal opportunity employer committed to fostering a diverse, equitable, and inclusive workplace where all employees are respected, supported, and enabled to perform at their highest potential.
Our benefits package includes
  • Fully remote position
  • 4 weeks of vacation + 5 paid personal days annually
  • Group insurance programs as of your first day, including access to telemedicine and an EAP
  • Collective RRSP with matching contribution of 4%
Employment Type: Full-Time

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