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Day Shift Freelance Python Django Developer Jobs in Toronto, ON

Developer, AI Transformation Team

Toronto, ON ยท On-site +1

CA$135K - CA$155K/yr

Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI ... Understanding of asynchronous programming, performance optimization, and scalable backend ...

Senior Software Developer

Toronto, ON ยท Remote

CA$123K - CA$187K/yr

We built a state-based pipeline to send 10MM+ personalized emails and SMS every day. * We built a ... React, Redux, Typescript * Backend: Python, Django * Databases: Redis, MySQL, MongoDB ...

... , DevOps, and Clinical domain experts to deliver compliant, scalable software that supports ... Design and develop full-stack features using Python/FastAPI or Django (backend) and React ...

Staff Software Engineer

Toronto, ON ยท On-site

CA$150K - CA$200K/yr

Nice to haves * 8+ years of varying experiences as a Software Engineer ... Proficient in Python , Django , TypeScript , and React . * Experience with cloud platforms such as ...

... , DevOps, and Clinical domain experts to deliver compliant, scalable software that supports ... Design and develop full-stack features using Python/FastAPI or Django (backend) and React ...

Senior Software Engineer

Toronto, ON ยท On-site

CA$100K - CA$150K/yr

Proficient in Python , Django , TypeScript , and React . * Experience with cloud platforms such as ... Candidates must be based in Toronto or open to relocating and working five days per week in our ...

Familiarity with backend systems (Python/Django, Java/Springboot, APIs, Postgres). * Experience ... By the end of your first 30 days, you will have: * Developed a strong understanding of Forma.ai ...

What does the day to day look like? Our platform is built from independently deployable services ... Exposure to a Python web framework (such as FastAPI, Flask, or Django) * Familiarity with Docker ...

What does the day to day look like? Our platform is built from independently deployable services ... Exposure to a Python web framework (such as FastAPI, Flask, or Django) * Familiarity with Docker ...

The Role GBME is searching for Software Engineers (Python/PL-SQL) who are continuous learners and ... Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits ...

Direct experience with our stack (Python/Django, React/TypeScript) is an asset; the ability to go ... days a week, unless additional in-office days are directed by their agency or manager. Our ...

Showing results 21-40

Day Shift Freelance Python Django Developer information

What is a day shift freelance Python Django developer?

Day Shift Freelance Python Django Developers are independent professionals who specialize in building and maintaining web applications using the Python programming language and the Django framework. They work on a freelance basis, meaning they are self-employed and typically hired on a project or contract basis rather than as full-time employees. The 'day shift' specification means they are available to work during standard business hours, which can be important for clients needing real-time collaboration or quick turnaround. Their tasks can include designing application architecture, writing and testing code, fixing bugs, and deploying web-based solutions.

What are the key skills and qualifications needed to thrive as a day shift freelance Python Django developer?

To thrive as a Day Shift Freelance Python Django Developer, you need strong proficiency in Python programming, Django web framework, and a solid understanding of web development principles, often supported by a relevant degree or proven portfolio. Familiarity with version control systems like Git, front-end technologies (HTML, CSS, JavaScript), and cloud platforms or deployment tools is typically required. Excellent time management, problem-solving skills, and clear communication are vital soft skills for managing multiple projects and collaborating with clients remotely. These skills and qualities ensure you can deliver robust, scalable web solutions efficiently and maintain professional client relationships in a freelance setting.

What are some common challenges faced by day shift freelance Python Django developers, and how can they be addressed?

Day shift freelance Python Django developers often face challenges such as managing multiple client projects simultaneously, balancing communication across different time zones, and keeping up with evolving Django best practices. To address these, it's helpful to establish clear project timelines, use project management tools for task tracking, and schedule regular client check-ins during overlap hours. Continuous learning and active participation in online Django communities can also help freelancers stay updated and resolve technical issues efficiently.

What is the difference between Day Shift Freelance Python Django Developer vs Day Shift Python Developer?

AspectDay Shift Freelance Python Django DeveloperDay Shift Python Developer
CredentialsProven experience in Django, Python, portfolio, possibly certificationsProven Python skills, possibly certifications, but not necessarily Django-focused
Work EnvironmentRemote or freelance projects, flexible hours, client-basedIn-house or remote, typically part of a team within a company
Employer & IndustryClients across various industries, freelance platformsEmployers in tech, finance, or startups, within organizations
Search & Comparison IntentLooking for freelance Django projects, flexible workSeeking full-time or contract Python roles, possibly with Django

The main difference is that a Day Shift Freelance Python Django Developer works independently on client projects, often remotely, with a focus on Django. In contrast, a Day Shift Python Developer may work within a company, handling broader Python tasks, possibly without Django specialization.

What are popular job titles related to Day Shift Freelance Python Django Developer jobs in Toronto, ON?

For Day Shift Freelance Python Django Developer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Day Shift Freelance Python Django Developer jobs in Toronto, ON look for?

The top searched job categories for Day Shift Freelance Python Django Developer jobs in Toronto, ON are:

Infographic showing various Day Shift Freelance Python Django Developer job openings in Toronto, ON as of June 2026, with employment types broken down into 12% Locum Tenens, 52% As Needed, 11% Full Time, 19% Part Time, 4% Contract, and 2% Summer. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Python Developer - QIS (Indexes)

Jay Analytix

Toronto, ON โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

Python Developer QIS (Indexes)

Location: Toronto, ON (Hybrid 3 days onsite per week) Experience: Minimum 8+ years Employment 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