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Azure Data Engineer Jobs in Alberta (NOW HIRING)

Data Elephant Inc

Senior AI / ML Engineer

Calgary, AB · On-site

Experience with cloud platforms (Azure, AWS, Databricks) * Strong understanding of data engineering concepts (ETL, data modeling, pipelines) * Strong familiarity with the Databricks ecosystem ...

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How much do azure data engineer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for azure data engineer in Alberta is $63.22, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $72.36 per hour, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
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 Azure Data Engineer jobs in Alberta? For Azure Data Engineer jobs in Alberta, the most frequently searched job titles are:
Azure Data Engineer jobs near you

Data Engineer (Microsoft Fabric) - Remote Contract (Canada Only) - DE 0608 KC#01

NavitasPartners

Calgary, AB • Remote

Other

Posted 7 days ago

Job description

Job Title: Data Engineer (Microsoft Fabric) - Remote Contract (Canada Only)Location: Remote (Candidates must be based in Canada)Duration: 6-Month ContractIndustry: Healthcare Technology
Role Overview

We are seeking a highly skilled Data Engineer with strong Microsoft Fabric expertise to join a leading healthcare technology client on a 6-month remote contract. This role is ideal for professionals who are passionate about building modern data platforms and delivering end-to-end data engineering solutions in a dynamic and evolving environment.

Key Responsibilities
  • Design, develop, and maintain scalable data solutions using Microsoft Fabric
  • Implement and manage Lakehouse architectures, including OneLake and DirectLake
  • Build and optimize data pipelines supporting end-to-end data engineering workflows
  • Deploy and manage solutions using Fabric deployment pipelines
  • Collaborate with cross-functional teams to deliver high-quality data products
  • Ensure data quality, governance, and performance optimization across the platform
  • Contribute to the transformation of modern data infrastructure within the organization
Required Skills & Experience
  • Proven experience working with Microsoft Fabric
  • Strong hands-on expertise in:
    • Lakehouse architecture
    • OneLake and DirectLake
    • Fabric deployment pipelines
  • Demonstrated experience delivering end-to-end data engineering solutions (beyond Synapse and Power BI)
  • Proficiency in data modeling, ETL/ELT processes, and data pipeline orchestration
  • Strong problem-solving skills and ability to work independently in a remote environment
Preferred Qualifications
  • Experience in healthcare or health-tech environments
  • Familiarity with data governance, compliance, and security standards in regulated industries
  • Exposure to modern cloud-based data ecosystems and architecture patterns

For more details reach at resumes@navitassols.com.

About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing healthcare staffing firms in the US providing Medical, Clinical and Non-Clinical services to numerous hospitals. We offer the most competitive pay for every position we cater. We understand this is a partnership. You will not be blindsided, and your salary will be discussed upfront.

Apply