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Python Data Developer Jobs in Toronto, ON (NOW HIRING)

Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the ... We're seeking a passionate and highly skilled senior Python developer to join our talented team of ...

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure ... Experience with CI/CD tools and DevOps best practices. * Familiarity with data security, compliance ...

You are considered an expert in Python, SQL, and Spark. You will work closely with the Data Engineering team and Data Science partners to build and operate high-impact audience data solutions. This ...

You are considered an expert in Python, SQL, and Spark. You will work closely with the Data Engineering team and Data Science partners to build and operate high-impact audience data solutions. This ...

Python Fullstack developer

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

... , Data, and Software Engineering, servicing an array of noteworthy financial services and ... Python (Django, REST APIs, ORM). * Celery (async task queues, beat scheduling, workers)

... to handle unstructured data (text, images, PDFs). * DevOps & IAC: Experience deploying ... Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS. Benefits ...

... to handle unstructured data (text, images, PDFs). * DevOps & IAC: Experience deploying ... Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS. Benefits ...

Company Description Are you a Data Engineer with experience building cloud-based data solutions and ... Build high‑throughput pipelines (SOQL, Bulk API 2.0, Informatica, MuleSoft, dbt, Python) that ...

The Data Engineering Lead will drive the design and implementation of high-throughput data ... Write, review, and approve clean, modular, and highly performant Scala and Python code, enforcing ...

Data Engineer, Data Platform

Toronto, ON · On-site

CA$85K - CA$100K/yr

Develop, test, and deploy robust, maintainable data pipelines and APIs using Python, dbt, Apache ... Knowledge of CI/CD workflows using Azure DevOps and Git is preferred. * Experience using ...

The role is highly technical and requires expert SAS/Python, data analytics, and Business ... University degree in Business, Engineering, Commerce, Mathematics, or related quantitative ...

Collaborate with DevOps, Scrum, product, application, and business teams to deliver data products ... Strong Python programming and scripting experience for data engineering and automation. * Working ...

... s) (i.e., Python); data science techniques and concepts; working with structured dataand ... Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs ...

Showing results 41-60

Python Data Developer information

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What job categories do people searching Python Data Developer jobs in Toronto, ON look for?

The top searched job categories for Python Data Developer jobs in Toronto, ON are:

Infographic showing various Python Data Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Software Engineer (Python) - PricingCenter

Guidewire Software

Mississauga, ON • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Summary

As part of Guidewire's Product Development & Operations (PDO) organization, you'll join the PricingCenter team that designs and builds the pricing engine at the heart of how P&C insurers rate and underwrite risk in the cloud. We work in a highly collaborative, hybrid environment, pairing closely with product, UX, and data teams to deliver secure, reliable services at scale. Our stack centers on Python, modern web APIs, and cloudnative architectures.
In this role, you will be a productfocused Python engineer who owns features endtoend-from exploring requirements through to production reliability. You'll help shape new pricing and rating capabilities, build performant APIs and services, and guide technical decisions that support PDO's FY26 priorities around AI, cloud adoption, and operational excellence. You will partner with peers across Guidewire to ensure PricingCenter is a marketleading pricing solution that helps insurers modernize, automate, and gain insight from their pricing strategies, directly contributing to Guidewire's mission to transform how the world's P&C insurers do business.

Job Description

What you'll do
  • Execute engineering tasks utilizing Python (RESTful APIs using Flask and FastAPI with extensive use of SQLAlchemy and Pydantic)

  • Design and build proprietary solutions involving insurance pricing algorithms, modeling, and data visualizations.

  • Partner with product management to convert business needs into secure, high-quality production features, applying professional judgment to choose appropriate tools and architectural patterns.

  • Manage the full development lifecycle: analyze requirements, architect solutions, conduct spikes, develop PoCs, and deploy scalable, thoroughly tested production code.

  • Maintain and refine existing applications to ensure consistent alignment with established SLOs.

  • Participate in agile ceremonies, contribute to RFC/ADR documentation, and perform peer code reviews to maintain high engineering standards.

  • Enhance observability and reliability of applications/components by implementing logging, metrics, tracing, dashboards, and alerting that support incident triage, rootcause analysis, and continuous improvement.

What you'll bring
  • Hands-on experience in building and deploying web applications, Python-based backend APIs and major cloud infrastructures (AWS, GCP, or Azure).

  • 4+ years of relevant professional experience in software development.

  • Experience with some of the following: FastAPI, SQLAlchemy, Pydantic, Celery.

  • Practical experience with containerization and orchestration (Docker, Kubernetes) and familiarity with CI/CD and DevOps practices and tools (Github Actions, Git-based workflows).

  • Strong foundation in Algorithms, Data Structures, and performance optimization techniques for scalable applications.

  • Experience with relational databases (like Postgres) and familiarity with NoSQL databases (like Redis) is an advantage.

  • Proactive mindset for learning new technologies, robust work ethic, commitment to resolving technical challenges, and responsibility.

  • Excellent communication skills with the ability to articulate technical concepts.

Nice to have
  • Exposure to Large Language Models (LLMs) and AI development tools (Claude, Copilot).
  • Data engineering background or interest, familiarity with NumPy, pandas, Polars is a plus.

  • Experience with full-stack development with Typescript and React is a plus.

The Canadian CAD base salary range for this full-time position is 106,000.00 - 132,000.00. Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.