Markham, On Python full stack data engineer Jobs – 111 Openings This Week

Senior Full-Stack Data & AI Engineer
Bridgenext Digital Engineering —Toronto, ON
- $130,000–$150,000 a year
- Full-time
- Azure
- Databases
- SQL
Senior Full-Stack Developer
Priceline.com —Toronto, ON
- $140,000–$160,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Databases
- Disability insurance
- Dental care
Sr. Embedded Software/Firmware Engineer
Ethernovia, Inc. —Toronto, ON
- $175,000–$225,000 a year
- Remote
- Computer Science
- Master's degree
- C++
- Dental care
- Vision care
Quick apply
Software Engineer (Java) – Front Office Pricing & Risk
TD Bank —Toronto, ON
- $126,800–$164,100 a year
- Full-time
- Java
- Analysis skills
- Scripting
- Paid time off
2d
Full-Stack Data Platform Engineer
Reflow —Toronto, ON
- Full-time
- Remote
- SQL
- APIs
- Python
Quick apply
Full Stack Engineer
Patlytics, Inc. —Toronto, ON
- Full-time
- Hybrid work
- SQL
- JavaScript
- Software development
- Commuter benefits
- Designated paid holidays
Staff, Applied AI Engineer
Headstart —Toronto, ON
- $265,000 a year
- Full-time
- Hybrid work
- APIs
- AI
- Python
- Commuter benefits
- Dental care
Senior Software Engineer (Typescript / FrontEnd) - AI/ML
ClickHouse —Toronto, ON
- On call
- Remote
- Azure
- Databases
- AWS
- Paid time off
Software Engineer, Detection (TOR)
Doppel —Toronto, ON
- $157,000–$367,000 a year
- Full-time
- Hybrid work
- System design
- Java
- Databases
- Paid time off
Member of Technical Staff - Cybersecurity Capabilities
Preference Model —Toronto, ON
- $180,000–$300,000 a year
- Full-time
- C++
- Python
- Dental care
- Vision care
Analytics Engineer
Wirelessdna —Toronto, ON
- $75,000–$85,000 a year
- Temporary
- Microsoft Excel
- SQL
- SharePoint
Quick apply
Senior Software Engineer II, Full-Stack
Braze —Toronto, ON
- $186,838–$330,000 a year
- Organizational skills
- Agile
- AI
- Dental care
- Paid time off
Quick apply
Staff/Lead Python Engineer (FastAPI, Orchestration)
Mimica —Toronto, ON
- Full-time
- Remote
- English
- Software development
- Python
- Paid time off
- Flexible schedule
Senior Full Stack Software Engineer
Kraft Heinz Company —Toronto, ON
- $96,200–$120,200 a year
- Azure
- SQL
- Presentation skills
- Designated paid holidays
- Paid time off
Staff Software Engineer
Kaseya Careers —Toronto, ON
- $219,000–$245,000 a year
- On call
- Azure
- Java
- AWS
Senior Full Stack Backend Engineer
TaliPay, Inc. —North York, ON
- Full-time
- Hybrid work
- DevOps
- Databases
- AWS
Quick apply
Senior Software Engineer (Backend) - AI/ML
ClickHouse —Toronto, ON
- On call
- Remote
- Azure
- Databases
- AWS
- Paid time off
Full Stack Engineer
8090 Solutions Inc —Toronto, ON
- $150,000 a year
- Full-time
- DevOps
- AWS
- In-person
- Dental care
- Vision care
Quick apply
AI Enablement Student (4 months) - Fall 2026
Canadian Tire Corporation —Toronto, ON
- $23–$37 an hour
- Full-time
- Computer Science
- Java
- Analysis skills
- Profit sharing
3d
Senior Full-Stack Automation Engineer
MedMe Health —Toronto, ON
- $115,000–$176,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Bachelor's
- Dental care
- Vision care
Quick apply

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python full stack data engineer jobs near markham, on

Senior Full-Stack Data & AI Engineer

Bridgenext Digital Engineering -
Toronto, ON

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Job details

Full-time
$130,000–$150,000 a year

Qualifications

SSO
Power BI
Data modeling
Azure
Law
React
Kubernetes
Full-stack development
Microsoft SQL Server
NoSQL
MongoDB
Databases
SQL
Presentation skills
PostgreSQL
Redis
REST
APIs
DynamoDB
AI
Communication skills
Python
MySQL
Analytics

Full job description

Company Overview:

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.

Position Description:

Bridgenext is seeking a Senior Full-Stack Data & AI Engineer to own the complete data lifecycle—from ingestion and engineering through data modeling, analytics, AI enablement, and front-end consumption—within a cloud-native Azure ecosystem.

The role requires strong hands-on expertise in Python-based data engineering, analytics, and AI integration using FastAPI, along with the ability to build or support dashboards and data-driven front-end applications that deliver business-ready outputs.

The Senior Engineer will be responsible for owning the full data product lifecycle—requirements, build, deploy, run, and optimize—delivering reusable, governed, high-quality data assets and integrating RESTful APIs with enterprise platforms. Solutions are expected to run on Azure Kubernetes Service (AKS) with built-in authentication, authorization, and scalability.

This role focuses on delivering robust, production-ready data products with a data product mindset—reusable, governed, and aligned to business outcomes—within an existing Azure-centric framework. It is positioned as a full-stack Data & AI Engineering role, not a traditional full-stack development position.

Responsibilities include but are not limited to:

Design, develop, and own end-to-end data solutions spanning data ingestion, engineering, modeling, analytics, AI, and front-end consumption
Build and maintain RESTful APIs using FastAPI with authentication, rate limiting, pagination, and error handling
Develop scalable data pipelines and backend services using Python for data ingestion, transformation, and orchestration
Build or support dashboards and data-driven applications (e.g., Power BI, React UI) to enable front-end consumption of data products and KPIs
Design and implement conceptual, logical, and physical data models; build and maintain semantic layers to ensure consistent, governed data access
Deploy and operate containerized data and AI applications on Azure Kubernetes Service (AKS)
Enable ML/LLM use cases including chat, summarization, RAG, agents, and evaluators; prepare and manage data for model training and inference
Integrate data pipelines and applications with Azure OpenAI and other AI services to power intelligent, data-driven features
Deliver analysis-ready datasets, KPIs, and business-ready outputs aligned to stakeholder requirements; collaborate with cross-functional teams and participate in code reviews
Own the full lifecycle of data products: requirements gathering, build, deployment, operational monitoring, and continuous optimization

Workplace: Hybrid in the Greater Toronto Area

Must Have Skills:

8+ years of professional experience in data engineering, analytics engineering, or full-stack data platform development
Experience building or supporting dashboards and data-driven applications using tools such as Power BI, React, or similar frameworks
Strong experience building RESTful APIs using FastAPI
Expertise in SQL databases (PostgreSQL, MySQL, SQL Server) with strong data modeling skills (conceptual, logical, physical models and semantic layers)
Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis for diverse data storage needs
Hands-on experience deploying containerized data and AI applications on AKS
Experience enabling ML/LLM use cases including data preparation for training/inference, RAG, chat, and summarization
Experience integrating data pipelines with Azure OpenAI and other AI services
Strong proficiency in Python programming with a data product mindset—building reusable, governed, high-quality data assets aligned to business outcomes

Preferred Skills:

Good understanding of Agentic AI frameworks such as LangChain or AutoGen
Exposure to Agent-to-Agent (A2A) communication and agent scaling
Azure data platform experience including Data Factory, Synapse, Purview, Entra ID fundamentals, and app registrations
Knowledge of OAuth2, OIDC, SSO, and SAML configurations; familiarity with data governance and cataloging tools

Professional Skills:

Solid written, verbal, and presentation communication skills
Strong team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Self-sufficient, independent requiring very little supervision or intervention
Demonstrate flexibility and openness to bring creative solutions to address issues

Bridgenext is an Equal Opportunity Employer

Canadian citizens and those authorized to work in Canada are encouraged to apply

Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $130,000 - $150,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary.

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python full stack data engineer jobs in markham, on

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