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Python Data Developer Jobs in Montreal, QC (NOW HIRING)

Pelmorex

Data Engineer

Montreal, QC · On-site

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 ...

Tecsys Inc.

Data Engineer (DevOps)

Montreal, QC · On-site +1

Responsibilities Platform & DevOps * Provision and evolve AWS and Databricks accounts and ... Proficiency in Python (PySpark) and/or Java , plus strong SQL for data validation and ...

Valsoft Corporation

Senior Data Engineer

Montreal, QC · On-site

Advanced SQL skills and strong proficiency in Python or another relevant programming language. * Experience with cloud data platforms and modern data stack technologies. * Strong understanding of ...

Artefact

Sr Data Analyst

Montreal, QC · On-site

We design data-based solutions to meet our clients' specific needs, always conceived with a ... Programming languages: Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure ...

Flinks

Senior Data Scientist

Montreal, QC · Remote

Our Data Engineering function owns the shared data platform and serving infrastructure you build on ... Python is the exception: it's a non-negotiable (see Key Requirements). Why This RoleHigh ownership ...

Flinks

Senior Data Engineer

Montreal, QC · Remote

Expert SQL and strong Python skills, with the ability to build scalable, maintainable, and well ... DevOps Grafana et GCP Logging Vous n'avez pas besoin d'avoir travaillé avec chacun des outils ...

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Python Data Developer information

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a Python data developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Montreal, QC?

For Python Data Developer jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in Montreal, QC look for?

The top searched job categories for Python Data Developer jobs in Montreal, QC are:

Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, 5% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer

Pelmorex

Montreal, QC • On-site

Full-time

Retirement, PTO

Posted 21 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 our benefits provider 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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