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Python Jobs in Ontario (NOW HIRING)

Emergn

As a Senior Software Engineer Developer (Java/Python) at Emergn you will take responsibility over designing, coding, testing and deploying Javascript-based applications. Join our team and let ...

Capco

Developer with Prompt Engineering

Toronto, ON · On-site +1

You will play a key role in designing and developing scalable backend Python applications while leveraging AI technologies. Prompt Engineering is a core requirement for this role , and you will work ...

Escalent

Developer, AI Transformation Team

Toronto, ON · On-site +1

CA$135K - CA$155K/yr

The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high ...

United Airlines

GenAI Developer

Toronto, ON

Design and develop efficient maintainable and reusable Python scripts for data extraction transformation and loading ETL in GenAI application Demonstrate strong proficiency in the Python programming ...

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$50.5K

$130.6K

$188K

How much do python jobs pay per year?

As of Jul 22, 2026, the average yearly pay for python in Ontario is $130,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $154,500.00 per year, depending on experience, location, and employer.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek candidates with strong programming skills, experience with frameworks like Django or Flask, and knowledge of related tools such as Git and cloud platforms. The demand is expected to grow as Python remains a key language for emerging technologies.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What careers can you do with Python?

Python is a versatile programming language used in various careers such as software development, data analysis, machine learning, web development, automation, and cybersecurity. Professionals often work as developers, data scientists, machine learning engineers, or DevOps specialists, utilizing tools like frameworks, libraries, and cloud platforms. Strong problem-solving skills and knowledge of related technologies enhance job prospects in these fields.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What jobs in the US pay 300,000 a year?

In the US, senior software engineers, data scientists, and machine learning engineers with extensive experience and advanced skills can earn salaries of $300,000 or more annually. Executive roles such as CTOs and senior management in tech companies also often reach or exceed this compensation level, especially with bonuses and stock options.

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

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What Is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

More about Python jobs
What are the most commonly searched types of Python jobs in Ontario? The most popular types of Python jobs in Ontario are:
What are popular job titles related to Python jobs in Ontario? For Python jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Python jobs in Ontario look for? The top searched job categories for Python jobs in Ontario are:
What cities in Ontario are hiring for Python jobs? Cities in Ontario with the most Python job openings:
Python jobs near you
Infographic showing various Python job openings in Ontario as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 70% In-person, 5% Hybrid, and 25% Remote job distribution, with an average salary of $130,598 per year, or $62.8 per hour.
Staff Photonics Design & PDK Modeling Engineer

Staff Photonics Design & PDK Modeling Engineer

Lightmatter

Toronto, ON

Other

Posted 19 days ago

Job description

We are hiring a Photonics PDK Modeling Engineer to join our team. In this role, you will lead the development of our internal  Process Design Kit (PDK). You will act as the architect of our component library, bridging the gap between physical device physics and system-level simulation. You will develop robust compact models for active and passive components, ensuring that our simulation environment accurately predicts the behavior of our physical layouts. You will work heavily in Python, applying software engineering rigor to the challenges of photonic hardware design.

Responsibilities
  • Develop and maintain a library of pcells using Python-based layout frameworks. Ensure strict synchronization between physical layout, logical netlists, and behavioral models.
  • Create and verify behavioral compact models for passive and active devices
  • Simulation Infrastructure: Build automated workflows that extract parameters from electromagnetic solvers (FDTD/FEM) and package them into the PDK for circuit-level simulation.
  • Model-Hardware Correlation: Validate simulation models against lab measurements. Perform data fitting and statistical analysis to align model parameters with real-world silicon performance.
  • Automated Verification: Implement regression testing and Continuous Integration (CI) pipelines to ensure PDK updates do not break legacy designs or connectivity logic.
  • Netlist & Connectivity: Own the logic for netlist extraction, ensuring that the connectivity graph generated by the code perfectly matches the physical intent.
Qualifications
  • Master's +5 years experience or PhD +3 years experience in Electrical Engineering, Photonics, Physics, or related field.
  • Deep understanding of photonic device physics and experience in device simulation. 
  • Experience building behavioral models for circuit simulators (e.g., Lumerical INTERCONNECT, Cadence, Synopsys OptSim, or custom Python solvers).
  • Experienced in Python for modeling, automation, and data analysis. Comfortable with object-oriented programming and scientific libraries (NumPy, SciPy).
  • Python based layout experience.
Preferred Qualifications
  • Familiarity with GDSFactory, OptoCompiler or KLayout Python scripting.
  • Experience with Python-native circuit simulation ecosystems (e.g., SAX, Photontorch, Simphony).
  • Experience with Git version control, unit testing (pytest), and CI/CD workflows.
  • Prior experience in performing physical layout using foundry-provided process design kits (PDKs), adhering to specific design rules and constraints.
  • Experience in taping out and testing large-scale photonic integrated circuits, including familiarity with relevant testing equipment and methodologies.
  • Experience doing inverse design
  • Possess strong project execution skills, demonstrating the ability to effectively manage multiple design priorities, adhere to project timelines, and meet critical milestones.

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