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Azure Data Engineer Jobs in Alberta (NOW HIRING)

Finning

Data Engineer II

Calgary, AB · Hybrid

... Azure Data Lake, and SQL. You will work closely with product, engineering, analytics ... infrastructure, security, and business teams to keep critical data services stable, performant ...

Finning

Data Engineer II

Edmonton, AB · Hybrid

... Azure Data Lake, and SQL. You will work closely with product, engineering, analytics ... infrastructure, security, and business teams to keep critical data services stable, performant ...

Enfinite

Data Engineer, Digital Systems

Calgary, AB · Hybrid

Microsoft Azure, Fabric, or Power BI. * Databricks or Azure data-engineering certifications. What We Will Assess During the Interview We will explore how you: * Build pipelines that remain reliable ...

New

Data Elephant Inc

Databricks Engineer

Calgary, AB · On-site

This is a hands-on engineering role with strong exposure to architecture decisions, client ... Design and implement data pipelines using Azure Databricks (PySpark, SQL) * Build and optimize ...

ShyftLabs

Data Engineer

Calgary, AB

Experience working within cloud environments (GCP, AWS, or Azure) . * Experience with database ... Science, Engineering, or related discipline. * Experience working with enterprise-scale data ...

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 ...

Blend360

AI and Data Engineer

Edmonton, AB

Experience with cloud data infrastructure -- AWS, GCP, or Azure -- and comfort operating in a cloud-native environment Systems & Engineering Mindset * Ability to reason about system architecture ...

Connect First Credit Union

Data Architect

Edmonton, AB · Remote

Azure Data Engineer Associate) * Architecture Process Training or Certifications (eg: TOGAF ® ) Other Role Requirements: * Work arrangement: Remote first * Occasional travel to Edmonton, Calgary, or ...

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 ...

BrokerLink

Databricks Platform Engineer

Calgary, AB

Implement best practices for security, compliance, and cost management within Azure Databricks environments. * Collaborate with data engineers, data scientists, and other stakeholders to support ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Alberta

Azure Data Engineer information

See Alberta salary details

$41

$63

$88

How much do azure data engineer jobs pay per hour?

As of Jul 26, 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 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:
What job categories do people searching Azure Data Engineer jobs in Alberta look for? The top searched job categories for Azure Data Engineer jobs in Alberta are:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Alberta as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $131,506 per year, or $63.2 per hour.

Data Engineer II

Finning

Calgary, AB • Hybrid

Full-time

Posted 25 days ago

Job description

Company:Finning International Inc.Number of Openings:1Worker Type:PermanentPosition Overview:Data is deeply embedded in the product, engineering, analytics, and operational culture at Finning.
Finning Canada is looking to hire a permanent, fulltime Data Engineer II based either in Surrey, Calgary or Edmonton who will work as a part of the Software Development Services (SDS) Tier 4 support team, you will provide advanced production support for reliable, scalable, secure, and AI-ready data solutions. This role is focused on monitoring, troubleshooting, incident resolution, service request fulfilment, operational readiness, and continuous improvement across modern data processing and storage platforms, including Snowflake, Databricks, Azure Data Factory, Azure Data Lake, and SQL.
You will work closely with product, engineering, analytics, infrastructure, security, and business teams to keep critical data services stable, performant, secure, and supportable.
Why Join Finning?
Global exposure across treasury, capital markets, and risk
Strong career progression opportunities within finance
Collaborative, supportive, and high-performing team
Hybrid work model: 2-to-3 days/week in office
Competitive compensation: $80,000 - $95,000 base + bonus + benefitsJob Description:

Responsibilities

  • Provide Tier 4 production support for data platforms, pipelines, integrations across Snowflake, Databricks, Azure Data Factory, Azure Data Lake, and SQLdatabases.

  • Triage, investigate, resolve, and document incidents, service requests, defects, data quality issues, performance problems, failed jobs, and access-related requests.

  • Support Snowflake operations including databases, schemas, warehouses, roles, access patterns, query troubleshooting, performance tuning, cost awareness, secure data sharing, and operational governance.

  • Perform root cause analysis, contribute to problem management, and recommend preventive actions to reduce recurring incidents and improve service reliability.

  • Create and maintain support documentation, runbooks, knowledge articles, recovery procedures, escalation paths, and operational handover materials.

  • Use AI-assisted tools responsibly to accelerate support activities such as log analysis, query troubleshooting, documentation, ticket summarization, anomaly detection, and knowledge discovery while maintaining privacy, security, and quality standards.

  • Collaborate with development and engineering teams on fixes, releases, change validation, operational acceptance, deployment readiness, and post-release support.

  • Drive continuous improvement in monitoring, alerting, automation, support processes, incident response, access management, data quality checks, and operational stability.

We'd love to hear from you if you have

  • At least 4years ofpractical experiencedevelopment and/orsupporting production data platforms, data pipelines, integrations, and operational data services using Snowflake, Databricks, Azure Data Factory, Azure Data Lake, SQL, and modern ELT/ETL patterns.

  • Hands-on experience troubleshooting Snowflake workloads, including SQL queries, warehouses, schemas, roles, permissions, performance, data loads, and operational failures.

  • Strong SQL skills with the ability to investigate data discrepancies, failed jobs, slow queries, access issues, and production incidents.

  • Experience working with monitoring, alerting, logging, job scheduling, data quality checks, and operational dashboards for data platforms and pipelines.

  • Good understanding ofsupportpractices including incident management, request fulfilment, change support, problem management, root cause analysis, escalation, and knowledge management.

  • Working knowledge of Python, PySpark, scripting, Git, CI/CD concepts, and automation practices sufficient to troubleshoot and support production data solutions.

  • Awareness of how AI can be used responsibly to improve data support activities, including ticket triage, log analysis, anomaly detection, documentation, and operational knowledge discovery.

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent practical experience.

  • Excellent communication skills, strong ownership, customer focus, analytical troubleshooting ability, attention to detail, and a proactive team-oriented mindset.

At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do notdiscriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities.Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter.

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