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

Data Engineer

Montreal, QC ยท On-site +1

CA$80 - CA$85/hr

Role: Data Engineer Type: Contract 37.5 hrs/week Location: Montreal area, but can be remote ... SQL Python Understands and puts into practice data modeling, design and development of solid ETL ...

Develop high-quality Python applications automation scripts APIs and data integration services ... Advanced Python programming skills Pandas Pyspark NumPy REST APIs * Expert level SQL development ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python would be a strong asset * Experience working with Business ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python would be a strong asset * Experience working with Business ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python is required * Experience working with Business Intelligence ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python is required * Experience working with Business Intelligence ...

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 ...

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 ...

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 ...

Showing results 21-40

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 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:

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.

Python Developer - AI Operations

Aylo Careers

Montreal, QC โ€ข Hybrid

Full-time

Re-posted 19 days ago


Job description

Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet's safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression - all while maintaining robust trust-and-safety protocols.ย 

We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus).ย 

*A select number of positions require full-time in office attendance*

Ifย you'reย a Python Developer with a passion for AI and Large Language Models and want to get the chance to work onย cutting-edgeย AI-powered products and intelligent automation systems, then keep reading. As a key member of the AIย Operations team,ย you will have a mandate to take part in all stages of the AI product development life cycle, from ideation and prototyping through to production deployment.ย 

ย What You'll Be Doing:

  • Design, implement, and deploy new AI features, LLM-driven modules, and intelligent product and processย 
  • Maintain and improve existing AI-powered systems and internal automation pipelines, and support internal stakeholder requestsย 
  • Help research and evaluate new models, frameworks, and GPU infrastructure providers (such as OpenRouter, RunPod, and other cloud GPU platforms) for integration into our AI stackย 

What you'll need to be successful:

Must Haves:

  • College orย bachelor's degree in computing scienceย or related fieldย 
  • Strong proficiency in Python (3+ years) with hands-on experience building production-grade systems/softwareย 
  • 3 to 5 years of experience in software development with a focus on AI/ML pipelines, LLM integration, or generative AI applicationsย 
  • Solid understanding of Large Language Models (LLMs) - including prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and agentic workflowsย 
  • Hands-on experience working with LLM API providers and model routing platforms such as OpenRouter, OpenAI, Anthropic, or equivalentย 
  • Familiarity with GPUย GPU-as-a-service providers/platformsย 
  • Good working knowledge of REST API design, async Python, and Linux/Bash scriptingย 
  • A solid understanding of container technologies and modern containerbased build practicesย 
  • Understanding of computational and data complexity, scalability, securityย 
  • Good knowledge of applicable design patterns, algorithmsย 
  • Ability to architect, build and own efficient applications and components.ย 

Nice To Haves:

  • Experience with Gitlab CICD pipelinesย 
  • Experience with vector databases and embedding pipelinesย 
  • Familiarity with ML orchestration and workflow toolsย 
  • Broad knowledge of many of the following: cloud infrastructure, model monitoring, system observability, and MLOps practicesย 
  • Experience in deploying production systems to AWS using IaCย 

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees

In this role you may be exposed to adult content