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Junior Python Engineer Jobs in Toronto, ON (NOW HIRING)

Atyeti Inc

Sr Python Developer

Toronto, ON

Design, develop, and maintain robust and scalable RESTful APIs using Python. * Collaborate with ... Perform code reviews and mentor junior developers. * Integrate with third-party APIs and external ...

Providius

Junior Machine Learning Engineer

Hamilton, ON · On-site

... for a junior machine learning engineer to join our team and grow into a strong, hands-on ML ... Programming ability in Python * Solid grounding in machine learning fundamentals * Willingness to ...

Talent To Hire Inc.

Senior Data Engineer

Toronto, ON · On-site

CA$110K - CA$145K/yr

Mentor junior engineers and promote engineering best practices. What You'll Bring: * 8+ years of data engineering experience. * Strong skills in SQL, Python, Airflow, Snowflake, AWS Glue, S3, Lambda ...

Autodesk

DevSecOps Engineer

Toronto, ON · On-site

CA$88K - CA$128K/yr

... mentoring junior team members, and establishing best practices for the broader engineering ... Develop high-quality, maintainable code in Python, Golang, or related languages for security ...

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All JobsPython Engineer JobsJunior Python Engineer JobsJunior Python Engineer Jobs in Toronto, ON

Junior Python Engineer information

See Toronto, ON salary details

$34.4K

$81K

$123.6K

How much do junior python engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for junior python engineer in Toronto, ON is $80,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,077.00 and $93,525.00 per year, depending on experience, location, and employer.

What is a junior Python engineer?

Junior Python Engineers are entry-level software developers who specialize in using the Python programming language to build, test, and maintain software applications. They typically work under the guidance of more experienced developers, contributing to coding, debugging, and documentation tasks. Junior Python Engineers may also assist in writing scripts, automating processes, and learning best practices in software development as they gain experience. This role is ideal for recent graduates or those with limited professional experience in programming.

What are the key skills and qualifications needed to thrive as a junior Python engineer?

To thrive as a Junior Python Engineer, you need a solid understanding of Python programming, basic software development principles, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, integrated development environments (IDEs), and common Python libraries such as Flask or Django is typically expected. Strong problem-solving skills, willingness to learn, and effective communication make a candidate stand out in collaborative development teams. These skills are vital for producing reliable code, integrating smoothly into team workflows, and growing quickly in a technical environment.

What are some typical projects or tasks a junior Python engineer might work on in their first year?

As a Junior Python Engineer, you can expect to work on a range of foundational tasks such as writing and debugging code, developing scripts for automation, assisting in the maintenance of existing applications, and supporting the implementation of new features under the guidance of senior engineers. You may also participate in code reviews, collaborate with cross-functional teams like QA or DevOps, and handle data manipulation or API integrations. This hands-on experience helps you build confidence and deepen your understanding of industry-standard development practices.

What is the difference between Junior Python Engineer vs Junior Data Analyst?

AspectJunior Python EngineerJunior Data Analyst
Required SkillsPython programming, basic data structures, scriptingData visualization, SQL, Excel, basic statistics
CertificationsPython certifications, coding bootcampsData analysis certifications, Excel courses
Work EnvironmentSoftware development teams, tech companiesBusiness intelligence teams, finance, marketing
Industry UsageSoftware, tech, startupsFinance, marketing, consulting

The main difference between a Junior Python Engineer and a Junior Data Analyst lies in their focus areas. Junior Python Engineers primarily develop and maintain software using Python, while Junior Data Analysts analyze data to generate insights. Both roles require some overlapping skills like basic programming, but their tools and end goals differ significantly.

What are the most commonly searched types of Python Engineer jobs in Toronto, ON?

The most popular types of Python Engineer jobs in Toronto, ON are:

Junior Python Engineer jobs near you
Infographic showing various Junior Python Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $80,969 per year, or $38.9 per hour.

Python Developer - QIS (Indexes)

Jay Analytix

Toronto, ON • Hybrid

Contractor

Re-posted 7 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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