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

AlayaCare

Staff Data Developer

Montreal, QC

About the Role We are seeking a Staff Data Developer to join our Data & Intelligence division ... Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS)

Targeted Talent

C++ Developer

Montreal, QC · On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Targeted Talent

C++ Developer

Montreal, QC · On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Levio

Python Developer

Montreal, QC · Hybrid

Collaborate closely with engineering, data and infrastructure teams to ensure smooth integration of solutions ; * Analyze technical requirements, propose robust solutions and take part in ...

Targeted Talent

Senior Database Developer

Montreal, QC · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position ... Bonus points if you have experience with Python and Pyspark * A B.Sc. or equivalent work experience ...

Targeted Talent

Senior Database Developer

Montreal, QC · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position ... Bonus points if you have experience with Python and Pyspark * A B.Sc. or equivalent work experience ...

Jay Analytix

Python Developer + Pricing

Montreal, QC · On-site

Role Overview We are seeking a Python Developer with experience in pricing models and banking ... Process and validate market data (interest rates, volatility, curves) * Optimize performance of ...

Cogeco

Data Scientist

Montreal, QC · On-site

Engineer features by using your business acumen to find new ways to combine disparate internal and ... Advanced hands-on experience with the Python data science stack. * Owning the full Data Science ...

Bounteous

Senior Python Developer

Montreal, QC · On-site

We are seeking a Senior Python Developer with over 7 years of experience to design and build ... Ensure data protection measures are integrated throughout the information lifecycle to safeguard ...

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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 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 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.
Senior Software Engineer - Python

Senior Software Engineer - Python

Kunai

Montreal, QC

Other

Posted 24 days ago

Job description

Location: Montreal, Quebec - Onsite Work Required

We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide. 

Key Responsibilities: 

  • Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica. 
  • Design and implement data workflows on Snowflake or comparable cloud data platforms. 
  • Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations. 
  • Write efficient, maintainable, and well-tested Python code following object-oriented principles. 
  • Develop and optimize complex SQL queries for data extraction, manipulation, and analysis. 
  • Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell. 
  • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency. 
  • Contribute to best practices around code quality, testing, and deployment. 

Required Skills & Experience: 

  • Strong proficiency in Object-Oriented Python development. 
  • Experience designing and executing ETL processes, preferably with Informatica. 
  • Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery. 
  • Solid SQL skills for complex query writing and performance optimization. 
  • Proficiency in scripting languages like Shell, Bash, or PowerShell. 
  • Understanding of data modeling, data pipeline optimization, and distributed data processing concepts. 
  • Familiarity with software development best practices, source control, and CI/CD pipelines. 
  • Experience working in Agile environments. 
  • Full working proficiency with English (Written and Verbal) 

Preferred Qualifications: 

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline. 
  • Prior experience in financial services, especially with data reconciliation or risk-related data workflows 

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