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Internship Python Sql Developer Jobs in Ontario (NOW HIRING)

Td

AI2 Data Science Co-op (WINTER 2027)

Toronto, ON · Hybrid

Internship/Co-op Work Term: Winter/Term 2 Work Location: Toronto, Ontario, Canada Hours: 37.5 Pay ... Strong proficiency in one or more of Python, SQL, or other data-related programming languages.

New

Bridgenext

GIS Developer

Toronto, ON · Remote

The GIS Developer will build scalable solutions using the Esri ArcGIS platform, Python, SQL, Microsoft Azure services, and contemporary web technologies to support informed operational and investment ...

Virtusa

Become a Kinetica Senior Consultant, applying your knowledge in Kinetica, Python, SQL, and data ... You will work collaboratively with a team of analysts and developers to address business needs ...

New

Citi

Senior Data Engineer - Python

Mississauga, ON

CA$120K - CA$170K/yr

This role requires deep hands-on experience in Python-based data engineering, SQL development, data modeling, and ETL/ELT design, along with familiarity with both relational and NoSQL databases.

Citi

Senior Data Engineer - Python

Mississauga, ON · On-site

CA$120K - CA$170K/yr

This role requires deep hands-on experience in Python-based data engineering, SQL development, data modeling, and ETL/ELT design, along with familiarity with both relational and NoSQL databases.

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Internship Python Sql Developer information

What does an Internship Python SQL Developer do?

An Internship Python SQL Developer is typically responsible for assisting with the design, development, and maintenance of applications that use Python programming and SQL databases. Interns in this role often help write and optimize queries, automate data processing tasks, and support software development teams in building data-driven solutions. They also learn best practices in coding, database management, and may participate in troubleshooting or debugging issues under the guidance of senior developers. The internship provides hands-on experience with real-world projects, helping interns build their technical skills and prepare for a career in software development.

What types of projects and tasks can I expect as an Internship Python SQL Developer?

As an Internship Python SQL Developer, you'll typically work on real-world projects that involve writing and optimizing SQL queries, developing Python scripts to automate data processing, and supporting database management tasks. You may assist with data extraction, transformation, and loading (ETL) processes, help troubleshoot data issues, and collaborate closely with senior developers and data analysts. This hands-on experience allows you to gain a deeper understanding of database structures and software development workflows, while also enhancing your problem-solving skills in a professional environment.

What are the key skills and qualifications needed to thrive as an Internship Python SQL Developer, and why are they important?

To thrive as an Internship Python SQL Developer, you need a foundational knowledge of Python programming, SQL databases, and basic software development concepts, usually evidenced by coursework or relevant projects. Familiarity with tools like MySQL, PostgreSQL, version control systems such as Git, and possibly cloud platforms is highly beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly will help you stand out. These skills and qualities are crucial for efficiently building, maintaining, and optimizing database-driven applications in a collaborative tech environment.

What is the difference between Internship Python Sql Developer vs Python Sql Developer?

AspectInternship Python Sql DeveloperPython Sql Developer
QualificationsEnrolled in or recent graduate of relevant programBachelor's degree in Computer Science or related field, certifications preferred
Work EnvironmentInternship, supervised, entry-level projectsFull-time, professional projects, collaborative teams
ResponsibilitiesAssisting with data queries, learning SQL and Python basicsDeveloping and maintaining SQL databases, scripting in Python, data analysis

In summary, an Internship Python Sql Developer is an entry-level position aimed at learning and gaining experience, while a Python Sql Developer is a full-time professional role with more responsibilities and expectations. Internships serve as a stepping stone toward becoming a full developer.

What cities in Ontario are hiring for Internship Python Sql Developer jobs?

Cities in Ontario with the most Internship Python Sql Developer job openings:

Internship Python Sql Developer jobs near you
Infographic showing various Internship Python Sql Developer job openings in Ontario as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Python Developer - QIS (Indexes)

Toronto, ON • On-site

Jay Analytix
See more jobs at Jay Analytixexternal

Full-time

Re-posted 29 days ago

Key responsibilities

  • Design, develop, and maintain Python-based applications supporting index calculation, rebalancing, and back-testing workflows

  • Implement and productionize systematic investment strategies in collaboration with quant researchers

  • Build and optimize data pipelines for market data ingestion, cleansing, and validation

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