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

The ideal candidate will combine hands-on experience in data engineering for AI systems with strong Python, SQL, and data pipeline engineering capabilities. This role will support both AI engineering ...

Expertise in Artifactory, Pandas, NumPy, and objectoriented programming in Python ... Strong data analytics skills, and ability to identify data issues easily * Working knowledge of ...

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 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 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 ...

As a Senior Data Engineer, you will be responsible for the design, modelling, development, and ... Write efficient SQL and Python scripts for large-dataset analysis and end-to-end automation on a ...

Document data engineering processes, data flows, and system configurations. * Manage release ... Proficiency in Python for data manipulation, automation, and scripting. * Strong skills in Power BI ...

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Python Data Developer information

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 are Python Data Developers?

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 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 May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.
Python Developer ( Full-time )Montreal, QC-DK

Python Developer ( Full-time )Montreal, QC-DK

Central Business Solutions, Inc

Montreal, QC

Other

Posted 15 days ago


Job description

Experience in years : 7+ Mandatory

Core responsibilities:

Design and implement scalable, maintainable and high-performing RESTful APIs using FastAPI, SQLModel and Redis

Write clean, efficient, and maintainable Python code

Develop and maintain documentation

Design and optimize database schemas and queries

Create and maintain automated test suites

Monitor and optimize API performance Implement caching strategies and rate limiting

Collaborate with front end team to ensure smooth API integration

Assist in implementing workflows for detecting, archiving and purging stale data based on retention policies

Ensure proper logging and auditing of data lifecycle processes

Mentor junior developers and review code

Collaborate with the system architect to refine the API logic, enhance query performance and implement caching strategies

Required skills

  • 5+ years of professional Python development experience
  • Strong experience with FastAPI or similar framework (Flask, Django REST)
  • Deep understanding of REST API design principles
  • Expertise in asynchronous programming with Python
  • Solid experience with SQL databases (PostgreSQL preferred)
  • Strong knowledge of API security best practices
  • Experience with Docker and containerized environments like Openshift/Kubernetes
  • Proficiency in writing unit tests and integration tests
  • Familiarity with event-driven architecture and tools like Kafka
  • Strong Problem-solving skills and attention to details
  • Effective communication and ability to work in a collaborative, agile environments.
  • Adaptive and eager to learn new tools and technologies.

Nice to have:

  • Knowledge of monitoring tools like Prometheus and OpenTelemtry.
  • Experience with microservice architectures.
Candidate Details
7+ to 10 years experience
Seniority Level -Mid-Senior
Minimum Education -Bachelor's Degree
Willingness to Travel -Occasionally