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Python Programmer Jobs in British Columbia (NOW HIRING)

Fortinet

Staff C Programmer (Linux Platform)

Burnaby, BC · On-site

CA$140K - CA$171K/yr

Write and maintain automation scripts in Bash and Python * Review code for correctness, efficiency, and maintainability * Provide technical leadership and mentor junior engineers Required ...

Netflix

Senior DevOps Release Engineer

Vancouver, BC · On-site +1

The ideal candidate is a highly experienced Gitlab or Github administrator and Python developer with a strong desire to act as a force multiplier for a team of software engineers, through consistent ...

Cadence

Distributed Systems Engineer

Burnaby, BC · On-site

Some exposure to Python/C++ interop (pybind11, nanobind) Software Engineering * Strong Python programming skills with production code experience * Comfortable working in large codebases and ...

Fortinet, Inc.

Full Stack Software Developer

Burnaby, BC

CA$117K - CA$143K/yr

The ideal candidate will have some knowledge of Python programming, a strong background in networking, and will be eager to learn new things. As this job will be within the Fortiguard Labs, an ...

Fortinet

Full Stack Software Developer

Burnaby, BC · On-site

CA$117K - CA$143K/yr

The ideal candidate will have some knowledge of Python programming, a strong background in networking, and will be eager to learn new things. As this job will be within the Fortiguard Labs, an ...

Alquemy

Programmer Systems Analysts II

Vancouver, BC · On-site

Programmer Systems Analyst II About the Role We are seeking a Programmer Systems Analyst II to ... Proficiency in Java, JavaScript, Python, SQL, JSON, XML, or similar technologies. Experience with ...

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How much do python programmer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for python programmer in British Columbia is $54.23, according to ZipRecruiter salary data. Most workers in this role earn between $41.35 and $66.59 per hour, depending on experience, location, and employer.

What is a Python programmer?

Python Programmers are software developers who specialize in writing code using the Python programming language. They design, develop, and maintain applications or systems, often working on tasks such as web development, data analysis, machine learning, automation, and scripting. Python Programmers need strong problem-solving skills and a good understanding of programming concepts. They often collaborate with other developers, data scientists, and stakeholders to build efficient and scalable solutions.

What do Python programmers do?

A Python programmer uses the programming language called Python to write code for various applications, including big data manipulation, web servers, program scripting, and more. In this career, the software allows you to program quicker using fewer lines, which creates an easy-to-read code. You can find work in web or game development, data visualization, and analyzing data, among others. Your job duties vary based on your specialization, but they usually include working with files and extensive support libraries, creating, testing and implementing new or updated applications, and examining the code to spot problems.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, understanding of algorithms, and a background in computer science or related fields. Familiarity with development tools like Git, testing frameworks such as PyTest, and experience with libraries like Django or Flask are typically required. Problem-solving ability, attention to detail, and effective teamwork are standout soft skills for this role. These skills ensure the development of reliable, scalable software solutions and smooth collaboration within technical teams.

What are some common challenges Python programmers face when working on large-scale projects, and how can they overcome them?

Python Programmers working on large-scale projects often encounter challenges such as managing code maintainability, optimizing performance, and coordinating with cross-functional teams. To address these, it’s essential to follow best practices like modular programming, using virtual environments, and employing version control systems such as Git. Regular code reviews and clear communication within the team help maintain code quality and ensure everyone is aligned. Leveraging frameworks and libraries effectively can also streamline development and reduce repetitive tasks.

What is the difference between Python Programmer vs Software Developer?

AspectPython ProgrammerSoftware Developer
Required CredentialsTypically a degree in Computer Science or related field; proficiency in PythonDegree in Computer Science or related; proficiency in multiple programming languages including Python
Work EnvironmentOften in tech companies, startups, or freelance projects focused on Python-based tasksIn various industries, working on full software solutions, often across multiple languages and platforms
Employer & Industry UsageTech firms, data analysis, automation projectsSoftware firms, IT departments, app development

While a Python Programmer specializes in Python coding, a Software Developer works on broader software solutions, often using multiple languages. Both roles require similar foundational skills, but Software Developers typically handle more comprehensive project responsibilities.

Are Python programmers in demand?

Python programmers are in high demand across various industries due to the language's versatility, ease of learning, and widespread use in data analysis, web development, and automation. Employers often seek candidates with skills in frameworks like Django or Flask and familiarity with tools such as Git and cloud platforms. The demand is expected to grow as Python continues to be a key language in emerging fields like artificial intelligence and machine learning.

Is Python Programmer still in demand in 2026?

Python programmers continue to be in high demand in 2026 due to the language's versatility in web development, data analysis, machine learning, and automation. Proficiency with frameworks like Django or Flask and knowledge of data science tools increase employability in various industries.
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For Python Programmer jobs in British Columbia, the most frequently searched job titles are:

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Python Programmer jobs near you
Infographic showing various Python Programmer job openings in British Columbia as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $112,799 per year, or $54.2 per hour.

Senior Python Software Developer

PDF Solutions

Vancouver, BC

CA$120K - CA$155K/yr

Full-time

Re-posted 29 days ago

Job description

Overview

At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.

This work involves building robust Machine Leanring (ML) modeling pipeline in Python to achieve desired ML model performance on metrics of customer interest (e.g. yield, tolerance). Broken into steps, the work is roughly an equal mix of tweaking core ML algorithms / pipelines for enhanced model performance with desired computational speed and/or creating deployment-ready software in our proprietary architecture.

This role offers a unique opportunity to deploy non-trivial ML modeling pipeline into production along with associated systems, and seeing the impact of those models in action at some of the world’s largest chip manufacturers for wide variety of use cases. This is not a Hadoop/Spark-focused big data role but rather an ML-focused role but may also include general software engineering tasks as well, depending on what is needed to make the overall product and platform successful and production-ready. Our deployment environment is markedly different from typical cloud deployment with constant access for updates or bug-fixes. Roughly stated, the production requirements are closer to a self-driving robot than a cloud-integrated image recognition service.

An ideal candidate has invested time in continuous learning and implementing algorithms either using an existing framework/library or from scratch and understands failure modes of various algorithms in production. Additionally, the ideal candidate has collaborated with Data Scientists to put ML code into production.


Responsibilities
  • Implementing production grade scalable ML algorithms and analytics solutions
  • Improving computational performance of ML algorithms and analytics solutions
  • Interact with Software Engineers and Data Scientists to create clean API interfaces

Qualifications
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 8+ years of experience in back-end development in python.
  • 4+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing

Pay Range
CAD $120,000.00 - CAD $155,000.00 /Yr.Qualifications:
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 8+ years of experience in back-end development in python.
  • 4+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing
Education:UNAVAILABLEEmployment Type: FULL_TIME

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