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Full Stack Data Engineer Jobs

Data Engineer, Mir (English Services) (Full-Time Telework)
By CBC/Radio-Canada At Toronto, Ontario, Canada
A supportive management team committed to upholding the highest standards of diversity and inclusivity.
You have a minimum of two years of experience as a Data Engineer working with big data
Minimum of two years of programming experience (preferably Python)
You have experience in designing and developing APIs to support data retrieval and manipulation.
Experience with cloud platforms, preferably GCP and Big Query
Experience with data streaming and distributed computing practices
Full Stack Engineer, Connect (Toronto)
By Stripe At Toronto, Ontario, Canada
Build great product experiences (integrate with Instant Payouts, Issuing, Capital, Terminal, etc) into all of Connect’s dashboard surfaces.
1.5+ years of experience as a full stack software engineer
Experience in frontend technologies and frameworks (e.g. Javascript, HTML/CSS, React/Angular/Vue)
Experience in backend development and technologies
2 to 6 years of experience as a full stack software engineer
Can put yourself in the shoes of your users and be a steward of crafting great experiences
Staff Full Stack Engineer, Innovation Studio
By Mozilla At Toronto, Ontario, Canada
Experience building advanced React controls and components. Familiarity with React context state management APIs.
Work cross-functionally with other engineers, design and product management.
Build back-end infra atop Google Cloud and assist on front-end experiences for a new product ideas within the Innovation Studio.
Cloud application architecture and building blocks expertise with in-depth knowledge about compute, storage and interfaces with GCP.
Advanced knowledge of React and associated frameworks (eg Next.js), Typescript / Javascript and node.js ecosystem.
Experience in SEO, domain provisioning, online payment systems and scheduling systems.
Lead Full Stack Data Engineer, Data Foundation, Data Platforms
By CPP Investments | Investissements RPC At Toronto, Ontario, Canada
Implement DevOps best practices to ensure efficient application deployment and management.
A flexible/hybrid work environment combining in office collaboration and remote working
Build/manage BI/Analytical dashboard reducing time to insight for the business stakeholders.
Proven experience as a Full Stack Developer with AngularJS and Python.
Experience working with RESTful APIs and JSON. Familiarity with microservices architecture.
Diverse and inspiring colleagues and approachable leaders
Frontend Full Stack Engineer
By Nextgen Technologies Inc At Canada
Design new experiences for eBay sellers and advertisers to promote their products, manage their advertising campaigns, and run their businesses.
Lead by example and share knowledge with the team
BS/BA in Computer Science or related field plus 8+ years’ work experience or MS with 6+ years of relevant experience
Experience with Node JS, JavaScript, Java, Scala, Oracle / NOSQL DBs
Experience building web and RESTful applications.
Experience working with frameworks such as Spring MVC or other UI Frameworks such as React.
Founding Engineer, Full Stack
By Spine AI At Toronto, Ontario, Canada
Defining the next-generation product interface: Building conversational UI components that will enable a new era of user experience.
Communication: Strong communication is required to work through ambiguity and showcase clarity of thought when interacting with customers and the team.
Working with LLMs: Deploying LLMs in production as well as tuning and experimenting with foundational LLMs and search techniques.
Developing AI best practices: Implementing monitoring and guardrails around the product and defining best practices for leveraging generative AI in production.
Frontend: NextJS (Vercel) & TailwindCSS
Backend: Python (FastAPI), PostgresDB and S3
Full Stack Data Engineer
By Lorven Technologies Inc. At Toronto, Ontario, Canada
• 8+ years of experience in similar positions.
• Proven experience as a Full Stack Developer with AngularJS and Python.
• Experience working with RESTful APIs and JSON. Familiarity with microservices architecture.
• Experience with core AWS technologies such as EC2, ELB, Auto Scaling, S3, EFS, Lambda, API
• Hands-on experience with SQL and NoSQL databases.
• Hands experience with BI tools like Tableau, AWS Quick Sight

Are you an experienced Full Stack Data Engineer looking to take your career to the next level? We are looking for a talented individual to join our team and help us build the future of data engineering. You will be responsible for developing and maintaining data pipelines, designing and implementing data models, and creating data visualizations. You will also be working with a variety of technologies, including Python, SQL, and big data technologies. If you are passionate about data engineering and have the skills to make a difference, then this is the job for you!

Overview A Full Stack Data Engineer is a professional who is responsible for developing and managing data-driven applications and systems. They are responsible for designing, developing, and maintaining data pipelines, databases, and data warehouses. They must be able to work with a variety of data sources and technologies, including SQL, NoSQL, and Big Data. Detailed Job Description A Full Stack Data Engineer is responsible for designing, developing, and maintaining data-driven applications and systems. They must be able to work with a variety of data sources and technologies, including SQL, NoSQL, and Big Data. They must be able to design and develop data pipelines, databases, and data warehouses. They must be able to analyze data and develop data models. They must be able to develop and maintain data-driven applications and systems. They must be able to troubleshoot and debug data-related issues. They must be able to work with stakeholders to understand their data needs and develop solutions to meet those needs. Job Skills Required
• Strong knowledge of data engineering principles and best practices
• Proficiency in SQL, NoSQL, and Big Data technologies
• Experience with data modeling and data warehousing
• Ability to design and develop data pipelines
• Ability to analyze data and develop data models
• Ability to troubleshoot and debug data-related issues
• Ability to work with stakeholders to understand their data needs
• Knowledge of data security and privacy principles
• Knowledge of cloud computing technologies
Job Qualifications
• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering
• Proficiency in SQL, NoSQL, and Big Data technologies
• Experience with data modeling and data warehousing
• Knowledge of data security and privacy principles
• Knowledge of cloud computing technologies
• Excellent problem-solving and communication skills
Job Knowledge
• Knowledge of data engineering principles and best practices
• Knowledge of SQL, NoSQL, and Big Data technologies
• Knowledge of data modeling and data warehousing
• Knowledge of data security and privacy principles
• Knowledge of cloud computing technologies
Job Experience
• 5+ years of experience in data engineering
• Experience with data modeling and data warehousing
• Experience with designing and developing data pipelines
• Experience with analyzing data and developing data models
• Experience with troubleshooting and debugging data-related issues