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Python Sql Developer Jobs in Ontario (NOW HIRING)

Faire

Staff Machine Learning Platform Engineer

Kitchener, ON · On-site +1

CA$216K - CA$297K/yr

About this role As a Staff Machine Learning Platform Engineer, you will help design, improve, and ... Proficiency in Python, SQL, and distributed systems concepts * Experience with cloud platforms and ...

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How much do python sql developer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for python sql developer in Ontario is $117,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a Python SQL Developer?

A Python SQL Developer is responsible for designing, developing, and maintaining database-driven applications using Python and SQL. They write and optimize SQL queries, manage databases, and integrate Python scripts for data processing, automation, and reporting. Their role often involves working with frameworks like Pandas, Flask, or Django to build data-intensive applications. Additionally, they ensure data integrity, improve database performance, and collaborate with data analysts and engineers to meet business needs.

What are the typical day-to-day responsibilities of a Python SQL Developer?

As a Python SQL Developer, your daily tasks often include designing, developing, and maintaining back-end code in Python to interact with SQL databases, writing complex queries to extract and manipulate data, and collaborating with data analysts, software engineers, and other team members. You may also be responsible for optimizing database performance, automating workflows, and troubleshooting issues as they arise. Regular communication with stakeholders is common to ensure project requirements are met and data solutions align with business goals. This role provides the opportunity to work on challenging technical problems while contributing directly to a company’s data infrastructure.

What are the key skills and qualifications needed to thrive in the Python SQL Developer position, and why are they important?

To thrive as a Python SQL Developer, you need strong programming skills in Python and proficiency in writing and optimizing SQL queries, backed by a relevant degree or equivalent experience. Familiarity with database management systems like MySQL, PostgreSQL, or Microsoft SQL Server, as well as tools such as Git and data visualization libraries, is often required; certifications like Microsoft Certified: Azure Data Fundamentals can be advantageous. Strong analytical thinking, problem-solving skills, and clear communication are important soft skills, as is the ability to collaborate on cross-functional teams. These skills ensure you can efficiently build, maintain, and optimize data-driven applications that support the organization's technology needs.

Are Python Sql developers still in demand?

Python SQL developers are still in demand due to the ongoing need for data analysis, automation, and database management across industries. Skills in Python, SQL, and related tools like pandas or database systems such as MySQL or PostgreSQL enhance employability in data-driven roles. The demand is expected to remain steady as organizations continue to prioritize data integration and analytics.

Is Python and SQL a good combination?

For a Python SQL Developer, combining Python and SQL is highly effective, as Python can automate database tasks, analyze data, and integrate with SQL databases using libraries like SQLAlchemy or pandas. This combination enhances data processing, scripting, and backend development skills, making it a valuable skill set in many data-driven roles.

What is the salary of a Python SQL Developer?

The salary of a Python SQL Developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled developers with certifications and proficiency in database management and scripting tools tend to earn higher salaries.

What jobs can I do with Python and SQL?

With Python and SQL skills, you can pursue roles such as Python SQL Developer, Data Analyst, Data Engineer, Database Administrator, or Business Intelligence Analyst. These jobs typically involve data manipulation, database management, automation, and reporting, often requiring knowledge of related tools like pandas, SQL databases, and data visualization software.

What are the most commonly searched types of Python Sql Developer jobs in Ontario?

The most popular types of Python Sql Developer jobs in Ontario are:

What are popular job titles related to Python Sql Developer jobs in Ontario?

For Python Sql Developer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Python Sql Developer jobs in Ontario look for?

The top searched job categories for Python Sql Developer jobs in Ontario are:

Python Sql Developer jobs near you
Infographic showing various Python Sql Developer job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $117,729 per year, or $56.6 per hour.

Python Developer - QIS (Indexes)

Jay Analytix

Toronto, ON • On-site

Full-time

Re-posted 7 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