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Weekend Data Engineer Internship Jobs in Quebec (NOW HIRING)

Pelmorex

Data Engineer

Montreal, QC · On-site

... weekend earlier during the summer months! 17 Paid Days Off (in addition to 13 Personal Days) This ... We're looking for a Data Engineer who enjoys building reliable, scalable data solutions and is ...

Desjardins Group

Data internship, Fall 2026

Levis, QC · Hybrid

We offer a range of data internships that will allow you to sharpen your skills in: 💡Information ... Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...

Desjardins Group

Data internship, Fall 2026

Montreal, QC · Hybrid

We offer a range of data internships that will allow you to sharpen your skills in: 💡Information ... Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...

GIRO, Inc.

Expert Data Science Developer

Montreal, QC · On-site +1

... or internship-are subject to a criminal background check. Positions that involve access to ... data are also subject to a credit check. All verifications are conducted in accordance with GIRO ...

Caeus

C-IT-105 Data Specialist intern

Montreal, QC · On-site +1

CA$250/wk

Internship dates: From August 31 st to December 18th 2026 Are you looking for a work environment ... Experience with automated data pipeline and workflow management tools: DevOps, ARM, Data Factory ...

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All JobsData Engineer JobsWeekend Data Engineer Internship JobsWeekend Data Engineer Internship Jobs in Quebec

Weekend Data Engineer Internship information

What is the difference between Weekend Data Engineer Internship vs Weekend Data Analyst Internship?

AspectWeekend Data Engineer InternshipWeekend Data Analyst Internship
Required SkillsData pipeline development, SQL, Python, cloud platformsData visualization, SQL, Excel, basic analytics
Work EnvironmentTechnical teams, data engineering projectsBusiness teams, reporting and analysis tasks
Industry UsageTech, finance, e-commerceMarketing, retail, consulting

The Weekend Data Engineer Internship focuses on building and maintaining data pipelines and infrastructure, requiring technical skills like Python and cloud platforms. In contrast, the Weekend Data Analyst Internship emphasizes analyzing data and creating reports, with skills in visualization and Excel. Both roles are part-time, involve working with data teams, and are common in various industries, but they serve different functions within data management and analysis.

What cities in Quebec are hiring for Weekend Data Engineer Internship jobs? Cities in Quebec with the most Weekend Data Engineer Internship job openings:
Weekend Data Engineer Internship jobs near you

Data Engineer

Pelmorex

Montreal, QC • On-site

Full-time

Retirement, PTO

Posted 5 days ago

Job description

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...

Flexible Hybrid Work Environment 
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 
Personal Spending Account 
Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account) 
Summer Hours 
Start your weekend earlier during the summer months!
17 Paid Days Off (in addition to 13 Personal Days) 
This includes an extra day off during the month of your birthday - our gift to you!
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team
Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!
 
HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?
 
Read about us here! (spoiler alert... we are the home of The Weather Network )
 
Proud to share that we ranked #5 Most Admired Company in Canada in Leger's 2026 Reputation Study, among 334 organizations
 
 
WHY WE NEED YOU? GLAD YOU ASKED...
 

At Pelmorex, we're on a mission to transform weather and environmental data into decision-grade insights for businesses and consumers. Our B2B products help organizations make smarter, safer, and more profitable decisions.

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 Data Engineer who enjoys building reliable, scalable data solutions and is passionate about turning raw data into high-quality datasets that power products and business decisions.

The Opportunity
You will play a key role in building and maintaining the data systems that power multiple B2B products.. Your work will directly shape how data is ingested, validated, transformed, and consumed across our B2B product portfolio, ensuring it is reliable, scalable, and decision-ready for our customers. In this role, you'll collaborate closely with a small, entrepreneurial team of Engineers, Product Managers, and Data Scientists to turn raw data into real-world impact.

Please note, we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville or Montreal location. 
WHAT DOES THE DAY-TO-DAY LOOK LIKE

  • Build the Backbone: You will develop and maintain ETL/ELT pipelines using modern distributed compute frameworks such as Apache Beam and Snowpark.

  • Orchestrate Complex Workflows: You will build, monitor, and optimize data workflows using tools like Apache Airflow, Google Workflows, and Snowflake Tasks.

  • Manage Cloud Data Platforms: You will implement and optimize data models and storage across BigQuery, Snowflake, PostgreSQL, and Google Cloud Storage to ensure scalable and efficient data solutions.

  • Own Data Quality & Rigor: You will implement robust data validation frameworks, write unit/integration tests for data pipelines, establish CI/CD, and set up proactive monitoring for data integrity and system health.

  • Optimize Performance: You will help improve data system performance, reduce costs, and increase reliability.

  • Collaborate Across Teams: You will partner with Engineers, Product Managers, and Data Scientists to deliver high-quality data solutions that support business needs.


WE ARE HOPING YOU HAVE

  • Education
    Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, or an equivalent technical field.

  • Experience & Ownership
    2-5 years of professional experience in Data Engineering with hands-on experience building and supporting production data systems at scale.

  • Data Fundamentals
    Solid understanding of ETL/ELT patterns, data modeling, partitioning strategies and pipeline design.

  • Cloud Expertise
    Experience deploying, managing, or supporting data workloads in the cloud (GCP preferred).

  • Coding Fundamentals
    Strong proficiency in Python and SQL. Experience writing clean, modular, and maintainable code optimized for heavy data processing.

  • Engineering Rigor
    Strong commitment to automated pipeline testing, continuous integration, comprehensive documentation, and proactive system observability.

NICE TO HAVE

  • Experience working with high-volume geospatial, weather, or time-series datasets.

  • Familiarity with containerized environments (Docker, Kubernetes) and managing data workloads on cloud compute (e.g., Cloud Run, GKE).

  • Exposure to infrastructure-as-code principles (e.g., Terraform)

 
DON'T MEET ALL THE REQUIREMENTS? DON'T WORRY...
Not all applicants will have skills that match a job description exactly. Pelmorex values and welcomes diverse experiences. While having "desired" qualifications makes for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Pelmorex. We are always looking for people who will be a culture add (yup, that's right, we don't subscribe to culture fit, we want you to add to what we think is an amazing culture and work environment
INTERESTED? IT GETS BETTER....
  • Course Reimbursement Program We want you to keep learning, so we can too
  • Open and transparent communication, including All Hands Meetings with our CEO
  • Pelmorex Learning Academy
  • Your mental health is important to us! We partner with Inkblot for virtual counseling sessions
  • Frequent employee pulse surveys we value your feedback so we can continue to make Pelmorex a great place to work!
  • Free online doctor visits with Maple Online Healthcare
  • While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up We have an anonymous reporting platform to ensure everyone's voice is heard
OUR PROMISE TO YOU...

We're highly focused on doing the right thing.
We'll discuss issues and timelines professionally, so you have the time you need to do the best work you can
You will see the result of your work pushed out to real users quickly
We're a team that enjoys learning new technologies and we're open to trying new things
We'll try our best not to bog you down with boring meetings

Weather inspires, protects, and transforms. For 35+ years, Pelmorex has led the way with trusted forecasts and alerts. With innovation at our core, we provide precision, speed, and unmatched reliability-safeguarding lives, powering decisions, and driving business success. Whatever the weather, we turn its potential into action. We're Pelmorex. Imagine it and we'll deliver it.

Fair and Authentic Interview Experience
We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. During the interviews themselves, we expect responses to come from your own experience and thinking.
We ask that candidates not use real-time AI assistance, live answer prompts, or automated response tools during interviews. This helps ensure a fair process for everyone and allows us to evaluate how you approach problems and communicate in your own voice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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