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

Working with our data science team to integrate ML/AI models into the platform. * Integrating ... Azure Synapse, AWS Athena, and MS SQL Server experience. * Functional experience using Jira ...

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 ...

Able to develop and deploy complex CI/CD pipelines using GitHub Actions & AWS/Azure (experience ... data * customer interfaces * support for internal demos and research projects * Working with the ...

Work closely with cross-functional teams including data scientists, software engineers, and product ... Azure, AWS, or GCP) * Experience with workflow automation tools like n8n, dify.ai, Power Automate ...

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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.

Can I get a data engineer job with no experience?

Entry-level Azure Data Engineer positions typically require some knowledge of cloud platforms, data processing, and SQL, but many employers consider candidates with relevant certifications or coursework even without professional experience. Building skills through online courses, certifications like Microsoft Certified: Azure Data Engineer Associate, and hands-on practice can improve chances of securing an entry-level role. Practical experience, such as internships or personal projects, also enhances employability in this field.

What is the salary of Azure data engineer entry level?

An entry-level Azure Data Engineer typically earns between $60,000 and $85,000 annually, depending on location, company size, and specific skills such as proficiency with Azure Data Factory, SQL, and cloud certifications. Salaries may increase with experience and additional certifications in cloud technologies.

Is Azure data engineer discontinued?

Azure Data Engineer is a current and in-demand role focused on designing and implementing data solutions using Microsoft Azure tools like Azure Data Factory, Azure Data Lake, and Azure SQL. Microsoft continues to invest in Azure data services, and the role remains relevant for professionals with skills in cloud data management and analytics.

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 engineer makes $500,000 a year?

While most entry-level Azure Data Engineers earn significantly less, senior data engineers with extensive experience, advanced skills in cloud platforms, and specialized certifications can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or large organizations. Such roles often require years of experience, expertise in data architecture, and proficiency with tools like Azure Data Factory, Databricks, and SQL.
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 June 2026, with employment types broken down into 2% Locum Tenens, 12% Full Time, 84% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Generative AI Engineer - LLM & Agentic Systems - AIRLHV

NavitasPartners

Red Deer, AB • On-site, Remote

Other

Posted 15 days ago


Job description

Generative AI Engineer - LLM & Agentic Systems 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

Join a cutting-edge team building enterprise-grade Generative AI and agentic solutions that power intelligent automation and decision-making. 

Key Responsibilities: 

  • Develop and deploy LLM-powered applications and AI agents  
  • Integrate GenAI solutions with enterprise data ecosystems  
  • Optimize models and pipelines for scalability and performance  
  • Work closely with cross-functional teams to deliver AI solutions  

Required Skills: 

  • Strong expertise in AI/ML, GenAI, and LLM frameworks  
  • Experience with cloud platforms (AWS, Azure, GCP)  
  • Hands-on development and deployment experience  

Nice to Have / Coverage: 

  • Experience with LangChain, PyTorch, and MLOps frameworks  
  • Exposure to Databricks, Snowflake, Synapse, BigQuery  
  • Collaboration with cloud/data platform architects  
  • Understanding of Responsible AI and governance frameworks  

For more details reach at resumes@navitassols.com.