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Internship Azure Data Engineer Jobs in Calgary, AB

... VP of Data Engineering. Our core mandate is to drive enterprise-wide efficiency, mitigate ... Amazon AWS and Microsoft Azure * Microsoft Fabric an asset * Software development * C# and Python ...

We are committed to driving impactful changes through data analytics and technology, harnessing our ... Azure Cloud, CI/CD pipelines, Docker Nice-to-Have Skills - Experience with frontend frameworks ...

We are committed to driving impactful changes through data analytics and technology, harnessing our ... Azure Cloud, CI/CD pipelines, Docker Nice-to-Have Skills - Experience with frontend frameworks ...

Cloud hosting environments (AWS, Azure, Vercel, or similar) * Database technologies such as ... data-driven applications THE INDIVIDUAL The ideal individual will have the following background ...

E&P data management and integration * Cloud and platform infrastructure, data services, and ... NET, Angular, React, and Node.js * Cloud platforms including Azure and AWS * Containerization and ...

Interest in developing processes, improving systems, and learning how operational decisions are supported through data. * Co-op, internship, or engineering experience in power generation, utilities ...

Interest in developing processes, improving systems, and learning how operational decisions are supported through data. * Co-op, internship, or engineering experience in power generation, utilities ...

Showing results 41-60

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 Calgary, AB?

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

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

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

Staff Software Engineer

Royal Bank of Canada

Calgary, AB • On-site

Full-time

Re-posted 24 days ago


Job description

Job Description

What's the opportunity?

We're looking for an experienced Staff Software Engineer who will bring focus and subject-matter expertise around designing and implementing robust, scalable AI services. This is a unique opportunity to grow in the world of AI engineering and work with a team of passionate individuals committed to delivering enterprise grade software solutions for our production AI services.

Your responsibilities include:

  • Designing, building, and optimizing AI services that power the business' AI and ML applications

  • Architecting and implementing software best practices and standards for code quality, performance, and scalability across AI applications

  • Collaborating with infrastructure engineers and machine learning researchers to ensure seamless integration, reliability, and performance of AI applications at scale

  • Leading technical design decisions and system architecture for AI applications and projects, including API design, data models, and integration patterns

  • Building highly scalable, resilient cloud and on-premises software systems for hosting AI services using state-of-the-art technologies

You are an ideal candidate if you have:

  • Strong and relevant experience designing and implementing distributed systems and software architectures for AI services

  • Proven expertise in software engineering practices, including code review, testing, design patterns, and software architecture

  • Hands-on experience building and deploying scalable applications and services using modern frameworks and technologies

  • In-depth knowledge of containerization technologies such as Docker and Kubernetes or OpenShift Container Platform (OCP4)

  • Experience designing and implementing APIs, event-driven, microservices, and service-oriented architectures

  • Strong proficiency in Python and Golang

  • Experience optimizing application performance, implementing caching strategies, and tuning distributed systems

  • Hands-on experience building and deploying applications across hybrid environments on-prem and major cloud environments, such as AWS and Azure

  • Experience designing data access layers and working with databases (both SQL and NoSQL such as MongoDB) in production environments

  • Understanding of machine learning model serving, inference optimization, and ML system design patterns

  • Experience designing and building infrastructure for deploying and managing agentic workflow systems and self-hosted ML models

  • Experience with observability, monitoring, and logging practices to ensure visibility into system behaviour and performance

What's in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact from a local-to-global scale

About the AI Group:

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery - ensuring RBC remains at the frontier of AI-enabled value creation.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#LI-POST

#TECHPJ

Job Skills

AI Ops, Amazon SageMaker, Apache Kafka, Autoscaling, Big Data Management, CI/CD, Datadog, Data Mining, Data Science, Deep Learning, Dynatrace APM, Machine Learning (ML), Microsoft Azure, MLflow, ML Integration, MongoDB, Predictive Analytics, Programming Languages, Python (Programming Language), Red Hat OpenShift

Additional Job Details

Address:

407 8 AVE SW:CALGARY

City:

Calgary

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-24

Application Deadline:

2026-09-25

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME