Data and AI Platforms Engineer Intern

Your work days are brighter here.

We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.

About the Team

The Enterprise Data and AI Technologies & Architecture (EDATA) organization is a dynamic and evolving team that is spearheading Workday's growth through trusted data excellence, innovation, and architectural thought leadership. Equipped with an array of skills in data & AI platforms and architecture, data science, engineering, machine learning and AI strategy & product management, this team orchestrates the flow of data across our growing company while ensuring data accessibility, accuracy, and security. With a relentless focus on innovation and efficiency, Workmates in EDATA enable the transformation of complex data sets into actionable insights that fuel strategic decisions and position Workday at the forefront of the technology industry.

About the Role

We are seeking an enthusiastic and motivated Data and AI Platforms Engineer Intern to join our engineering team. This is an exciting opportunity to gain hands-on experience in designing, building, and managing scalable data and machine learning (ML)/AI systems. The ideal candidate is a proactive learner with a foundational understanding of data engineering, cloud platforms, and software development concepts.

Platform Support & Development

• Assist in the design, implementation, and maintenance of data pipelines, focusing on data ingestion, transformation, and serving layers.

• Help configure and test components of our scalable Data and ML/AI platforms to support the development and deployment of ML/AI solutions.

• Support platform optimization efforts, which may include assisting with infrastructure-as-code (IaC) templates (e.g., Terraform) and configuration management.

• Participate in applying DataOps/MLOps principles by automating small processes, contributing to CI/CD pipeline improvements, and helping with monitoring setup.

Learning & Best Practices:

• Learn and apply foundational best practices in data modeling, data warehousing, and data lake architecture under the guidance of senior engineers.

• Research and evaluate new data and AI technologies, tools, and methodologies to improve platform efficiency, and present findings to the team.

• Gain exposure to the full data/ML/AI lifecycle, from experimentation to production deployment.

• Adhere to established architectural standards and guidelines for data workloads, ensuring quality and consistency.

Collaboration & Communication:

• Work closely with data scientists, platform engineers, and data engineers to understand and support their data and ML/AI workflow needs.

• Document technical processes, configurations, and internal wiki articles to contribute to knowledge sharing within the team.

• Attend and actively participate in team meetings, providing clear and concise updates on assigned tasks.

#LI-DNI

About You

Basic Qualifications:

• Currently enrolled in a Bachelor's or Master's degree with an anticipated graduation date no earlier than December 2026

• You can commit to a in-person full-time internship program for 15-weeks during the summer of 2026 and will return to university studies after the conclusion of the internship

• Foundational coursework or personal project experience in Data Engineering, Cloud Computing, or DevOps/DataOps concepts.

• Familiarity with at least one major cloud platform (e.g., AWS, Azure, or GCP) and basic data services.

• Basic programming skills in languages like Python, SQL, or Scala.

• Understanding of the software development lifecycle and familiarity with version control tools like Git.

Other Qualifications:

• Eagerness to learn and take on new technical challenges.

• Strong problem-solving skills and a detail-oriented approach.

• Excellent written and verbal communication skills.

• Ability to work effectively and collaboratively in a fast-paced team environment.

• Open to 50% reporting to our Toronto Office

Workday Pay Transparency Statement 

The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.

Primary Location: CAN.ON.TorontoPrimary CAN Base Pay Range: $52,300 - $113,700 CADAdditional CAN Location(s) Base Pay Range: $52,300 - $113,700 CAD

Our Approach to Flexible Work
 

With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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