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Internship Azure Data Engineer Jobs in 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 ...

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 ...

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 ...

Senior Data Advisor

Edmonton, AB ยท On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Strong programming and data development experience using Python, SQL, APIs, Power Query, and DAX ... Experience with Azure Databricks, Microsoft Power Platform, Dataverse, SharePoint Online, Microsoft ...

Senior Database Developer

Edmonton, AB ยท Remote

$95K - $110K/yr

  • Medical

  • Dental

We are looking for an experienced Data Developer for our client. This is a permanent position ... Experience working in a cloud environment (ideally Azure ) * Bonus points if you have experience ...

Senior Database Developer

Edmonton, AB ยท Remote

$95K - $110K/yr

  • Medical

  • Dental

We are looking for an experienced Data Developer for our client. This is a permanent position ... Experience working in a cloud environment (ideally Azure ) * Bonus points if you have experience ...

Senior BI Developer: We are seeking a mid-senior to senior-level BI Developer who will play a ... Utilize Azure services (ADLS, Databricks, ADF) and Snowflake to centralize and enhance data ...

Implement scalable ETL/data transformation workflows using Databricks or similar platforms * Write ... Familiarity with cloud-based platform services such as Azure or AWS * Familiarity with any version ...

... Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We're building a technical content program to serve data engineers, analytics engineers, and other ...

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Internship Azure Data Engineer information

What does an internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

What kinds of projects and technologies can I expect to work with during an internship Azure Data Engineer?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

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

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.

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

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

What are popular job titles related to Internship Azure Data Engineer jobs in Edmonton, AB?

For Internship Azure Data Engineer jobs in Edmonton, AB, the most frequently searched job titles are:

What cities near Edmonton, AB are hiring for Internship Azure Data Engineer jobs?

Cities near Edmonton, AB with the most Internship Azure Data Engineer job openings:

Data Engineer - Intermediate (REMOTE) JP975

P@thlion Staffing Careers

Edmonton, AB โ€ข Remote

Full-time

Posted 25 days ago


Job description

Project Name:

Digital Regulatory Assurance System

Scope:

Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and Geospatial Platforms. This shift requires dedicated analytical capacity to ensure that the value of modernized data assets is fully realized.

DRAS is a Government of Alberta regulatory transformation initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes. DRAS supports the full regulatory lifecycle, from application and authorization to monitoring, compliance, remediation, and closure through a single, consolidated digital platform

As DRAS development continues, the volume, variety, and complexity of structured data continue to grow, creating a sustained need for dedicated data engineering and data product expertise. The Data Product Analyst role is critical to ensuring that modernization delivers tangible business value. This role will design, build, and operate reliable data pipelines that ingest and integrate data into the DMP, apply standardized transformations, enforce data quality and governance controls, and produce trusted, analytics‑ready datasets that support regulatory oversight, compliance monitoring, and evidence‑based decision‑making aligned with DRAS objectives.

This position will primarily support the Digital Regulatory Assurance System (DRAS) program, where high quality, timely analytics are essential to regulatory and compliance functions. As data and analytics maturity increases, the role may be expanded to support additional enterprise data initiatives.

Duties:

  • Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure, supporting both cloud-native and hybrid environments.
  • Lead the development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance.
  • Integrate data from diverse source systems including ServiceNow, and geospatial systems, using APIs, connectors, and custom scripts.
  • Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases.
  • Build and optimize data workflows using Python and SQL for data cleansing, enrichment, and advanced analytics within Azure Databricks.
  • Design and expose secure data services and APIs using Azure API Management for downstream systems.
  • Implement data governance practices, including metadata management, data classification, and lineage tracking.
  • Ensure compliance with privacy and regulatory standards (e.g., FOIP, GDPR) through role-based access controls, encryption, and data masking.
  • Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform.
  • Utilize AI and automation tools to streamline data engineering workflows, including pipeline development, testing, monitoring, and documentation.
  • Leverage AI-assisted tools for code generation, optimization, and review to improve development efficiency and code quality.
  • Design and curate standardized, high‑quality datasets that are suitable for advanced analytics and future AI use cases.
  • Other duties as needed