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

Aon Corporation

Python Developer - Pathwise

Toronto, ON · Hybrid

CA$96K - CA$125K/yr

... data flows, and perform ETLstyle processing. * Develop and maintain Azure DevOps pipelines ... As a Python Developer, you will play a key role in shaping the tooling, frameworks, and DevOps ...

New

Capco

Data Engineer

Toronto, ON · On-site +1

Python (3+ years of hands-on experience) * Pandas (Advanced) * NumPy (Advanced) * SQL Data Engineering & Analytics * Experience processing and validating large datasets (millions of records) * Data ...

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 · 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)

Coforge

Sr. Data Engineer

Markham, ON · Hybrid

Snowflake, DBT ,Python/ Java, SQL Experience: 12+ years Location: Markham, ON (Hybrid) Duration: Fulltime We at Coforge are hiring a Sr. Data Engineer with Snowflake and DBT with following skillset ...

New

KPMG

Data Support Senior Consultant

Vaughan, ON

... 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

... 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

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

Geotab

Software Developer

Oakville, ON · On-site

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 ...

OSL Retail Services Inc

Data Engineer

Mississauga, ON · On-site

Proven experience as a Data Developer, analyst, engineer, or Data Scientist * Background in data ... Python or R), XML, REST API and JavaScript, * Experience and comfort working with open-source ...

TechBlocks

Data Engineer

Vaughan, ON · On-site

The ideal candidate will have experience working with Python and big data technologies such as ... Comfortable using Azure DevOps or similar CI/CD tools, Git. * Experience with TDD, agile software ...

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 ...

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Showing results 21-40

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

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 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 - QIS (Indexes)

Jay Analytix

Toronto, ON • Hybrid

Contractor

Re-posted 25 days ago

Job description

Python Developer - QIS (Indexes)

Location: Toronto, ON (Hybrid - 3 days onsite per week)Experience: Minimum 8+ yearsEmployment Type: Full-Time / Contract (as applicable)

About the Role

We are seeking a seasoned Python Developer with strong experience in Quantitative Investment Strategies (QIS) and index products to join our Toronto-based team. In this role, you will design, build, and maintain the technology platforms that power index calculation, rebalancing, and QIS strategy implementation. You will work closely with quantitative researchers, index analysts, and product teams to translate systematic strategies into robust, production-grade code.

Key Responsibilities
  • Design, develop, and maintain Python-based applications supporting QIS and index calculation, construction, rebalancing, and back-testing workflows
  • Implement and productionize systematic/rules-based investment strategies (e.g., factor, volatility, carry, momentum, multi-asset strategies) in collaboration with quant researchers
  • Build and optimize data pipelines for market data ingestion, cleansing, and validation across equities, fixed income, FX, commodities, and derivatives
  • Develop tools for index performance attribution, corporate action handling, and daily index level production
  • Ensure accuracy, auditability, and timeliness of index calculations and strategy outputs, including reconciliation and exception handling
  • Write clean, well-tested, well-documented code following software engineering best practices (version control, CI/CD, code reviews, unit/integration testing)
  • Improve performance and scalability of existing calculation engines and libraries
  • Collaborate with cross-functional stakeholders (research, product, operations, risk) to gather requirements and deliver solutions
  • Support production systems, troubleshoot issues, and participate in release and change management processes
  • Mentor junior developers and contribute to team standards and technical direction
Required Qualifications
  • 8+ years of professional software development experience, with strong hands-on expertise in Python
  • Proven experience in Quantitative Investment Strategies (QIS), index development/calculation, or systematic trading environments
  • Strong knowledge of financial markets and instruments - equities, futures, options, FX, fixed income - and index methodologies (rebalancing, weighting schemes, corporate actions)
  • Proficiency with Python scientific/data libraries: pandas, NumPy, SciPy; experience with back-testing frameworks a strong plus
  • Solid SQL skills and experience working with relational databases and large financial datasets
  • Experience with market data vendors and platforms (e.g., Bloomberg, Refinitiv/LSEG, FactSet)
  • Strong grasp of software engineering practices: Git, CI/CD pipelines, automated testing, code review, Agile delivery
  • Excellent analytical and problem-solving skills with high attention to detail and data accuracy
  • Strong communication skills and ability to work directly with quants, product, and business stakeholders
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related quantitative field
Nice to Have
  • Master's degree or professional designation (CFA, FRM)
  • Experience at an index provider, investment bank QIS desk, asset manager, or ETF issuer
  • Exposure to cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and workflow orchestration tools (e.g., Airflow)
  • Experience with performance optimization (vectorization, multiprocessing, Cython) for large-scale calculations
  • Familiarity with derivatives pricing, risk models, or portfolio optimization techniques
  • Knowledge of regulatory considerations for benchmarks/indexes (e.g., IOSCO principles, BMR)
Why Join Us
  • Work at the intersection of quantitative finance and technology on products used by institutional investors
  • Hybrid work model based in downtown Toronto
  • Collaborative environment with direct exposure to quant research and index product teams
  • Competitive compensation and benefits package
Employment Type: CONTRACTOR

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