Associate Data Engineer Jobs in Toronto, ON (NOW HIRING)

Key Responsibilities 

• AI Solution Design & Development
  • Design and build production-grade AI solutions leveraging Large Language Models (LLMs), Context Engineering, Retrieval-Augmented Generation (RAG), and classical machine-learning techniques
  • Define Agent design development standards and orchestration Design Patterns
  • Develop reusable prompt, context, and feature engineering patterns to improve model accuracy, grounding, and performance.
  • Integrate AI capabilities into enterprise applications using REST and GraphQL APIs, OpenAPI/Swagger specifications, and Azure-native services.
  • Use AI-assisted development tools (GitHub Copilot, Cursor, Claude Code) to accelerate delivery while maintaining code quality and review standards.
  • Design & Build AI Solutions: Develop and deploy AI applications on Microsoft Copilot, Azure AI Foundry, Azure App Services.
  • API & Service Integration: Connect Azure AI services (Vision, Speech, Language, Document Intelligence) to existing applications using REST APIs and Python/C# SDKs.
  • RAG & Knowledge Mining: Build Retrieval-Augmented Generation (RAG) pipelines with Azure AI Search to ground AI responses in enterprise data.
  • Responsible AI Guardrails: Apply content safety, prompt shields, and PII filters via Azure AI Content Safety to ensure compliant AI deployments.
• Data Engineering & Microsoft Fabric Enablement
  •  Build and maintain data ingestion, transformation, and curation pipelines using Microsoft Fabric Pipelines, Fabric Notebooks (PySpark), and Delta Tables.
  • Utilize Lakehouse and Data Warehouse patterns following the standards prepared by Data Engineering teams.
  • Prepare the Context of AI Agents through the use of data preparation and data pipeline orchestration.
  • Prepare high-quality data for RAG, embeddings, and vector search through profiling, cleansing, validation, and deduplication.
• Core Development & DevOps
  • Building interactive UI components in React/Next.js/JavaScript for AI applications and dashboards - utilizing AI coding assistance
  • Application Insights, telemetry, alerting, and performance monitoring.
  • MLOps & DevOps: Build CI/CD pipelines in GitHub Actions or Azure DevOps to register, test, and deploy models.
  • Collaborative communication with engineering, analytics, architecture, and business stakeholders.

Skills

• AI & Machine Learning: Hands-on with Large Language Models, prompt and context engineering, RAG, feature engineering, ML model development, and AI-assisted coding tools (GitHub Copilot, Cursor, Claude Code).
• Azure & Cloud AI Services: Azure infrastructure and cloud-based AI service deployment, plus working knowledge of Azure Container Apps, App Services, and Azure DevOps pipelines.
• Microsoft Fabric: Fabric Pipelines, Delta Tables, and Fabric Notebooks (PySpark); Lakehouse and Data Warehouse patterns; event-driven (RTI) architecture.
• Data Engineering: Building data ingestion pipelines, data curation with SQL and Python, and data cleansing/deduplication; Fabric Notebook
• Core Development: Python for AI/ML and automation; TypeScript, React/Next.js, Node.js for full-stack and dashboards; PySpark for distributed processing.
• APIs & Backend: REST and GraphQL API development with OpenAPI/Swagger specifications.
• Analytics & Reporting: Power BI report design, DAX, semantic models, and Fabric DirectLake integration; conceptual, logical, and physical data modeling.
• DevOps & Version Control: Advanced Git source control and branching strategies; CI/CD, containerization, and infrastructure-as-code practices.
• Observability: Application Insights, telemetry, custom metrics, distributed tracing, alerting, and Azure observability platforms.

Education 

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience
• Nice to have relevant Microsoft certifications preferred: Azure AI Engineer Associate (AI-102), Azure Data Engineer Associate (DP-203), and Fabric Analytics Engineer Associate (DP-600).
• 3+ years of hands-on experience building production software, with at least 2 years focused on AI solutions and cloud-native data solutions.

The base salary range for this position is $90,080- $123,860 per year (CAD). The posted range reflects the expected base salary for this position. Actual base salary will be determined based on factors such as geographic location, skills, education, and experience, as well as internal equity considerations. Offers are typically made within the range and not at the top of the range to support growth and progression. This position is eligible to participate in a short-term incentive plan. Incentive awards, if any, are based on business and individual performance and are not guaranteed.

#LI-RP1

At Samuel, we believe every team member brings unique and valuable skills, experiences and knowledge to our thriving business - enabling us to build on over 170 years of success in the metals industry. We offer countless opportunities for our team members to develop and grow in their careers, empower them to make decisions on the job and be a part of driving positive change - within our organization and in the communities where we live and work. If you're seeking a dynamic, supportive and welcoming workplace to make your mark and grow your career, we have the programs, culture and opportunities to make it happen. We're stronger together.
At Samuel we believe in a culture of equality. Respect and integrity are at our core. We are committed to building and creating an environment that is open and welcoming for everyone. This job posting is for an existing vacancy within the organization

Samuel is an Equal Opportunity Employer.  In the United States, we utilize E-Verify.

At Samuel, meeting our customer needs is our top priority. With cost-effective distribution and just-in-time delivery of metals and industrial products across North America, we ensure our customers get exactly what they need - any time, anywhere and from a single source.  Our focus on value-added processing services and innovative supply chain solutions allow us to work closely with our customers, ensuring their products are on the market on time. Thanks to our integrated network of products and services supported by our in-house technical leaders and market experts, we are uniquely positioned to become your supplier of choice.