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Contract 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 ...

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 ...

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 JobsContract Azure Data Engineer JobsContract Azure Data Engineer Jobs in Alberta

Contract Azure Data Engineer information

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

AspectContract Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, cloud certificationsGeneral data engineering certifications, such as Google Cloud or AWS certifications
Work EnvironmentPrimarily cloud-based, Azure platformCloud or on-premises, varies by employer
Industry UsageOrganizations using Microsoft AzureOrganizations using various cloud providers or on-premises data solutions
Search IntentComparing roles focused on Azure cloud data solutionsBroader data engineering roles across platforms

The Contract Azure Data Engineer specializes in building and managing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, the Contract Data Engineer has a broader scope, working across multiple cloud providers or on-premises environments. The Azure-focused role is ideal for those targeting Azure-centric projects, while the general Data Engineer role offers flexibility across different platforms.

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

To thrive as a Contract Azure Data Engineer, you need strong expertise in data engineering concepts, SQL, ETL processes, and a solid understanding of Azure cloud services, typically supported by a relevant degree or certifications like Microsoft Certified: Azure Data Engineer Associate. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and Power BI is commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are standout soft skills in this role. These skills ensure efficient data pipeline development, seamless integration with cloud systems, and successful project delivery in dynamic contract environments.

What types of projects and team structures can a Contract Azure Data Engineer expect to work with?

As a Contract Azure Data Engineer, you will typically work on projects centered around data migration, data warehousing, or the implementation of cloud-based analytics solutions using Microsoft Azure. You may be embedded within cross-functional teams that include data architects, analysts, and software engineers, often collaborating closely to deliver solutions under tight deadlines. The contract nature of the role means you might be brought in to address specific technical challenges or to accelerate ongoing projects, so adaptability and strong communication skills are highly valued. This role often provides exposure to diverse industries and the opportunity to quickly expand your professional network.

What are Contract Azure Data Engineers?

Contract Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data solutions using Microsoft Azure's cloud services. They specialize in creating data pipelines, integrating various data sources, and ensuring data is stored, processed, and made available efficiently in the Azure environment. These engineers often work with tools like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Their role is critical for organizations needing scalable, secure, and reliable data infrastructure in the cloud.
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 Contract Azure Data Engineer jobs in Alberta? For Contract Azure Data Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Contract Azure Data Engineer jobs in Alberta look for? The top searched job categories for Contract Azure Data Engineer jobs in Alberta are:
Contract Azure Data Engineer jobs near you
Infographic showing various Contract 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.

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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