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Entry Level Azure Data Engineer Jobs in Alberta (NOW HIRING)

You have experience managing cloud infrastructure in AWS, GCP, or Azure * You have built and ... Familiarity with data workflow orchestration tools such as Composer and Dataproc * Proficiency with ...

Cloud hosting environments (AWS, Azure, Vercel, or similar) * Database technologies such as ... data-driven applications THE INDIVIDUAL The ideal individual will have the following background ...

... technology and data solutions that position WCB Alberta as an industry leader in Worker ... Proficiency in Microsoft Azure DevOps and understanding of CI/CD pipelines. * Excellent problem ...

... technology and data solutions that position WCB Alberta as an industry leader in Worker ... Proficiency in Microsoft Azure DevOps and understanding of CI/CD pipelines. * Excellent problem ...

... entry-level position intended for individuals with some experience triaging, reproducing, and ... Certain positions dealing with sensitive and/or third party personal data may involve additional ...

... entry-level position intended for individuals with some experience triaging, reproducing, and ... Certain positions dealing with sensitive and/or third party personal data may involve additional ...

Showing results 21-40

Entry Level Azure Data Engineer information

What is an entry level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

What are the key skills and qualifications needed to thrive as an entry level Azure Data Engineer, and why are they important?

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.

What are the most commonly searched types of Azure Data Engineer jobs in Alberta?

The most popular types of Azure Data Engineer jobs in Alberta are:

What are popular job titles related to Entry Level Azure Data Engineer jobs in Alberta?

For Entry Level Azure Data Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Entry Level Azure Data Engineer jobs in Alberta look for?

The top searched job categories for Entry Level Azure Data Engineer jobs in Alberta are:

Infographic showing various Entry Level Azure Data Engineer job openings in Alberta as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Military/Veteran Mental Health Experts - Remote

Calgary, AB • Remote

$200 - $350/hr

Full-time

Posted 16 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.