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Python Data Developer Jobs in Toronto, ON (NOW HIRING)

Jay Analytix

Python Developer

Toronto, ON · On-site

Proficiency in Python and Flask framework. * Strong understanding of React.js and its core ... Familiarity with data analysis tools is a plus What will you do? Front-end Development (React)

Jay Analytix

Python Developer

Toronto, ON

Proficiency in Python and Flask framework. * Strong understanding of React.js and its core ... Familiarity with data analysis tools is a plus What will you do? Front-end Development (React)

Geotab

Software Developer

Oakville, ON

Mid-morning you might drop into a backend slice: a Go service endpoint or a Python data pipeline ... Perform maintenance programming for existing applications. * Consider the functionality ...

KPMG

Data Support Senior Consultant

Vaughan, ON · On-site

... SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

KPMG

Data Support Senior Consultant

Toronto, ON · On-site

... SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

KPMG

Data Support Senior Consultant

Toronto, ON · On-site

... SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

Cogeco

Data Scientist

Burlington, ON

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 ...

New

Flexstaf IT

Data Science Developer - Senio

Toronto, ON · On-site

MUST HAVES Must Haves: * 5+ years experience Azure environment * 5+ years experience Data engineering with ADF and Databricks * 5+ years experience Programming experience with Python, SQL Location: 3 ...

THOMSON REUTERS

Lead Data Engineer

Toronto, ON · Hybrid

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our ... AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint. A critical component of this position ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure ... Experience with CI/CD tools and DevOps best practices. * Familiarity with data security, compliance ...

Adastra Corporation

Data Engineer

Thornhill, ON · On-site

The ideal candidate is a hands-on data engineering professional with strong expertise in ... Strong proficiency in Python and SQL * Experience building data platforms that support data science ...

Tiger Analytics Inc.

Data Engineer

Toronto, ON

... to handle unstructured data (text, images, PDFs). * DevOps & IAC: Experience deploying ... Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS. Benefits ...

Tiger Analytics Inc.

Data Engineer

Toronto, ON · Remote

... to handle unstructured data (text, images, PDFs). * DevOps & IAC: Experience deploying ... Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS. Benefits ...

hireVouch

Manager, AI Engineer (Python)

Toronto, ON · On-site

Work closely with product managers, data scientists, and domain experts to define technical ... Python programming (NumPy, Pandas, Matplotlib, Boto3) * Automated testing frameworks (Ragas ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Develop optimized, performant data pipelines and models at scale using technologies such as Python ... Work with Continuous Integration/Continuous Delivery and DevOps pipelines to assist in automate ...

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Showing results 21-40

All JobsPython Data Developer JobsPython Data Developer Jobs in Toronto, ON

Python Data Developer information

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 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 popular job titles related to Python Data Developer jobs in Toronto, ON?

For Python Data Developer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in Toronto, ON look for?

The top searched job categories for Python Data Developer jobs in Toronto, ON are:

Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Python Developer

Jay Analytix

Toronto, ON • On-site

Full-time

Re-posted 27 days ago

Job description

Location: Toronto/Montreal

Experience: 7+

What do you need to succeed?

  • Bachelor's degree in Computer Science, Computer Engineering or a related field
  • Proficiency with Linux platform, and CI/CD integration tools
  • Proficiency in Python and Flask framework.
  • Strong understanding of React.js and its core principles.
  • Experience with relational databases (e.g. MySQL, MS SQL Server).
  • Familiarity with version control systems (e.g., Git).
  • Knowledge of RESTful API design and development.
  • Understanding of web development concepts (HTML, CSS, JavaScript).
  • Ability to write unit and integration tests.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Experience with Agile development methodologies is a plus.
  • Familiarity with data analysis tools is a plus

What will you do?

Front-end Development (React):

  • Develop and maintain user interfaces (UI) using React.js, HTML, CSS, and JavaScript.
  • Migrating legacy JS front-end to latest platform
  • Build reusable components and libraries for future use.
  • Optimize front-end performance for responsiveness and speed.
  • Collaborate with designers to implement UI/UX designs.
  • Troubleshoot and debug front-end issues.

Back-end Development (Flask):

  • Design and implement web applications using the Flask framework.
  • Develop and maintain RESTful APIs.
  • Work with databases and manage data flow.
  • Ensure code quality and maintainability.
  • Collaborate with front-end developers to ensure seamless integration.

General Development:

  • Write clean, efficient, and maintainable code.
  • Identify and address performance bottlenecks to ensure a smooth user experience
  • Contribute to data collection and analytics
  • Work with the application with other core services and integrate front-end elements
  • Stay up-to-date with the latest web technologies and best practices.
  • Troubleshoot and debug issues promptly.
  • Thoroughly test and debug code to ensure application stability and performance