Fullstack Developer jobs in Canada
Staff Backend Engineer — Cloud Synthetics (Remote)
Grafana Labs
Full-Stack Engineer, AI Platform - Hybrid & Impactful
Diligent
Discover more opportunities than anywhere else. Find more jobs nowApplications Engineer: CAD Design & Customer Support
Food Process Solutions Corporation
Connect with headhunters to apply for similar jobsJr. Software Developer (Vancouver Island residents ONLY)
Plexxis Software (For Subcontractors)
Senior Backend Engineer: Scalable Microservices & Cloud
Nu
TCMS Software Developer - Build & Improve Train Systems
ALSTOM Gruppe
Embedded HVAC Software Engineer - Hybrid (C/Simulink)
General Motors
Back-End Developer - Scalable eCommerce (Remote)
Acro Commerce
Backend Developer - Cloud Optimization (Remote)
Flexera
Senior Backedn Engineer [TypeScript] (Prisma ORM)
Prisma Data, Inc.
Senior Backend Engineer (TypeScript) [Prisma Postgres]
Prisma Data, Inc.
Failure Analysis Engineer — Software Diagnostics & EFA
GlobalFoundries
Sr Backend Engineer, AI Platform & LLM Systems (Hybrid)
EvenUp
AI-Powered Applications Engineer for Compliance & Legal
Robinhood
Senior Software Engineer – Public Safety SaaS (Python/K8s)
Versaterm
Data Science Developer - Intermediate
Job summary
A data solutions provider in Toronto is seeking an Intermediate Data Science Developer. The ideal candidate will have 2–5 years of experience in data science or analytics, showcasing skills in data analysis, visualization, and statistical modeling. Proficiency in Python, R, or SQL is necessary to manage large datasets effectively. This role is suitable for individuals looking to contribute to meaningful data-driven solutions.
Qualifications
- 2–5 years of professional experience in data science, data analytics, or a related quantitative field.
- Proven experience in data analysis, visualization, and statistical modeling.
- Demonstrated ability to clean, transform, and manage large datasets.
Skills
If interested, please share your resume at: mubeenk@2iresourcing.ca
Data Science Developer - Intermediate
Toronto, ON
5 Months
- 2–5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent.
- Proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems.
- Demonstrated ability to clean, transform, and manage large datasets using Python, R, or SQL.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.