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Co Op Data Engineer Jobs in Quebec (NOW HIRING)

We link payroll, recruiting, benefits, and HRIS platforms API-to-API so data moves between them ... The Opportunity We're looking for a Full Stack Software Developer Co-op to join our R&D team - and ...

Join requirements and design discussions Help with the data pre-processing, feature engineering and model architecture decisions Contribute to the implementation, training and evaluation of new AI ...

Our software simplifies and automates tasks related to the cloud infrastructure and data center hardware domains. It is used internally by solution architects and pre-sales engineers within Ericsson ...

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Co Op Data Engineer information

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$10

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How much do co op data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for co op data engineer in Quebec is $41.58, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $60.34 per hour, depending on experience, location, and employer.

What is a co op data engineer?

A Co-Op Data Engineer job is a temporary, internship-style position where students or early-career professionals gain hands-on experience in data engineering. Co-ops typically work with data pipelines, ETL processes, and databases to help collect, process, and analyze data efficiently. They collaborate with data teams to optimize data infrastructure and may use tools like SQL, Python, and cloud platforms. The role provides exposure to real-world data challenges, enabling participants to build technical skills and industry experience.

What types of projects or tasks does a co op data engineer typically work on during their placement?

Co Op Data Engineers often assist with data pipeline development, data cleaning, and supporting the implementation of ETL (Extract, Transform, Load) processes under the guidance of experienced engineers. They may be tasked with troubleshooting data issues, writing and optimizing SQL queries, or helping to build data visualizations for business stakeholders. In many organizations, Co Op Data Engineers also participate in team meetings, collaborate with data analysts or software engineers, and contribute to ongoing projects involving large datasets. This hands-on experience provides valuable exposure to real industry challenges, helps build technical proficiency, and allows for networking opportunities within the data engineering field.

What are the key skills and qualifications needed to thrive as a co op data engineer, and why are they important?

To thrive as a Co Op Data Engineer, you need a solid foundation in computer science fundamentals, data structures, programming (typically Python, SQL, or Java), and analytical thinking, often supported by progress toward a related degree. Familiarity with data management tools, database systems (like MySQL or PostgreSQL), and exposure to ETL processes or cloud platforms (such as AWS or Azure) is highly beneficial. Strong problem-solving skills, eagerness to learn, attention to detail, and effective communication enhance your ability to contribute to a team-oriented environment. These skills and qualities ensure you can adapt quickly, collaborate with professionals, and deliver reliable data solutions in a fast-paced tech setting.

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 Co Op Data Engineer jobs in Quebec?

For Co Op Data Engineer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Co Op Data Engineer jobs in Quebec look for?

The top searched job categories for Co Op Data Engineer jobs in Quebec are:

What cities in Quebec are hiring for Co Op Data Engineer jobs?

Cities in Quebec with the most Co Op Data Engineer job openings:

Infographic showing various Co Op Data Engineer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $86,487 per year, or $41.6 per hour.

QA Automation Engineer co-op

Flexspring, Inc

Montreal, QC • Remote

Full-time

Posted 4 days ago


Job description

About Flexspring

Everything connects. That's not just our tagline - it's the whole job.

Flexspring is an iPaaS (Integration Platform as a Service) built for one of the thornier problems in enterprise software: getting HR systems to actually talk to each other. We link payroll, recruiting, benefits, and HRIS platforms API-to-API so data moves between them cleanly and in near real-time, with no manual re-entry anywhere. The results back it up - 3,000+ integrations delivered, 800+ clients including Fortune 500 companies, ADP Marketplace Platinum Partner, and named HR Data Integration Experts of the Year 2025. And we do it all as a remote-first team spread across Canada and beyond.


The Opportunity

We're looking for a QA Developer Co-op to join our R&D team - and we'll be upfront about what that means.

This is real experience, in the fullest sense. No throwaway side project, no busywork to fill the term - from your first weeks you'll be testing our actual product, as a real part of the team, protecting data that real customers depend on. Many of our co-ops go on to join us full-time after graduation.

You'll work mainly in Java, writing automated tests around the ways real integrations break - API timeouts, mismatched data, systems drifting out of sync. Good QA here is half code, half detective work - every test exists because a real company is counting on its HR data to arrive intact. If you like asking "what could go wrong here?", and you get a little satisfaction from catching the bug everyone else missed, we'd love to hear from you.


What You'll Be Working On

  • Writing and maintaining automated test suites in Java - and understanding the customer problem behind what you're testing
  • Designing tests around the ways real integrations break - API timeouts, corrupted or mismatched data, systems falling out of sync
  • Tracking failures back to their root cause, not just the symptom
  • Using modern tooling, AI included, to work efficiently - and reviewing what it produces with a careful eye before you trust it
  • Working closely with developers through code reviews and team discussions to keep quality high


What We're Looking For

  • Strong analytical thinking. This is the heart of good QA - you can look at a feature and reason about where it might break and why that would matter, connecting each test back to the real customer on the other end.
  • A thoughtful approach to new tools. You enjoy picking up unfamiliar technology, including AI tools, and using it to work faster and smarter. You also know that generating output is only the start - the real value is in reviewing it, catching what's off, and being able to stand behind the result.
  • You've already completed a co-op term or have some professional work experience - this won't be your first time in a real work environment
  • You're currently studying Software Engineering, Computer Science, or a related field
  • A solid foundation in Java
  • You've written automated tests before, even for a class project (JUnit or something similar)
  • You've worked with or learned about APIs
  • You're curious, motivated, and get real satisfaction from finding what others miss


Nice to Haves

  • Experience with testing frameworks or tools (JUnit, Selenium, Postman, REST-assured, or similar)
  • Familiarity with REST APIs and how data moves between systems
  • Interest in integration platforms (iPaaS) and how systems connect
  • Curiosity about how large systems talk to each other - and what happens when they don't


What You'll Walk Away With

  • Real, hands-on experience protecting the quality of a production platform real customers rely on
  • Mentorship from senior developers who'll invest in how you think, not just the tests you write
  • A working understanding of how HR data moves between enterprise systems - and where it tends to break
  • Real practice using AI and modern tooling the way strong engineers do - fast, but with judgment
  • Competitive co-op pay
  • Flexible hours in a remote-first environment
  • A strong chance to grow into a full-time role after graduation