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Azure Data Engineer Jobs in Alberta (NOW HIRING)

KPMG

Data Support Senior Consultant

Edmonton, AB

... Azure Data Lake Storage, Power BI and other Azure technologies * Communicate the technical ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

Data Elephant Inc

Senior Power BI Lead

Calgary, AB

Experience bridging BI and data engineering, including translating reporting needs into backend data changes * Hands-on experience with Azure data platforms (e.g., Azure Data Factory, Synapse ...

KPMG

Data Support Senior Consultant

Calgary, AB

... Azure Data Lake Storage, Power BI and other Azure technologies * Communicate the technical ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

Lantern

Data Architect

Edmonton, AB

Provide strategic guidance on leveraging Microsoft Data Platform technologies (such as Fabric, Azure Synapse, Power BI, etc.) for data warehousing, data engineering, semantic modeling, analytics ...

Syndio

Staff Data Engineer

Calgary, AB

GCP (preferred), AWS, or Azure * Cloud data warehouses: BigQuery, Snowflake, Redshift, or similar ... As such, we empower engineers to make bold moves and back it up with a culture that supports ...

Syndio

Staff Data Engineer

Calgary, AB · Remote

CA$180/hr

GCP (preferred), AWS, or Azure * Cloud data warehouses: BigQuery, Snowflake, Redshift, or similar ... As such, we empower engineers to make bold moves and back it up with a culture that supports ...

10 Percent Recruiting Ltd.

Data Engineer

Edmonton, AB · Hybrid

Data Engineer Location: Edmonton, AB - hybrid Type: Permanent We currently recruiting for a Full-time Data Engineer for our downtown Edmonton-headquartered client's Information Technology Department.

Ansell

Role Overview We are looking for a QA Lead Engineer who can provide both technical leadership and ... Experience with Azure Data Factory to orchestrate and validate ETL workflows. * Proficiency in ...

TELUS

L3 Data Management (GCP)

Edmonton, AB · On-site +1

At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven ... Experience with Azure or AWS * Bachelor's degree in Computer Engineering, Computer Science, or a ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven ... Experience with Azure or AWS * Bachelor's degree in Computer Engineering, Computer Science, or a ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Alberta

Azure Data Engineer information

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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 - Spark / Databricks / Snowflake (BFSI) - DESDSAS

NavitasPartners

Red Deer, AB

CA$30/hr

Full-time

Posted 10 days ago

Job description

Job Title: Data Engineer – Spark, Databricks & Snowflake (BFSI)

Position Overview:
We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data solutions for banking, financial services, and insurance clients.

Key Responsibilities:

  • Design and develop enterprise-grade data pipelines using Spark and Databricks.
  • Build and optimize Snowflake data warehouse solutions.
  • Develop ETL/ELT frameworks for structured and unstructured data.
  • Implement data quality, governance, and security controls.
  • Integrate data from core banking, payments, lending, risk, and regulatory systems.
  • Optimize data processing performance and cloud costs.

Required Skills:

  • Apache Spark (PySpark/Scala)
  • Databricks
  • Snowflake
  • SQL, Python
  • Azure/AWS/GCP Data Services
  • Data Modeling
  • ETL/ELT Development
  • CI/CD and DevOps Practices
  • Data Lake Architecture

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of Data Engineering experience.
  • Experience implementing enterprise data platforms.

Mandatory Industry Experience:

  • Must have prior BFSI experience supporting banking, insurance, capital markets, lending, payments, wealth management, or risk management functions.

For more details reach at resumes@navitassols.com