Data Platform Developer Interns
Posted on 8/28/2025

Geotab
No salary listed
Toronto, ON, Canada + 2 more
More locations: Oakville, ON, Canada | Atlanta, GA, USA
Hybrid
Flexible hybrid working model; candidates can work from any of the listed locations.
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Platform Developer Intern who will immediately contribute to the organization and the Data and Analytics team efforts. If you love technology, are well organized, have great communication skills and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Data Platform Developer Intern, your key area of responsibility will be to develop and maintain new data infrastructure platforms that manage the data ingestion process of Geotab’s internal data lake. Your day-to-day may include creating processes, implementing logging, monitoring, and alerting services, working with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives, creating and maintaining documentation for architecture, requirements, and process flows, supporting internal Geotab teams to assist with data integration with newly developed big data platforms. You will need to work closely with members of the Data Platform, Data Science, and MyGeotab teams.
To be successful in this role you will need to be a motivated individual with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will design robust and scalable solutions while being able to manage multiple projects and priorities to ensure timely results.
The opportunity:
Please note that we are hiring 3 Data Platform Developer Interns across several teams (AI Platform, Ingestion/Digestion, and Applications).
- 4-month work-term beginning January 2026.
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
- Learn more about the Geotab Campus Program here.
How you'll make an impact:
Data Platform Developer Intern, AI Platform
- Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
- Develop processes to enrich Geotab’s big data with telematics data at scale.
- Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s data platform infrastructure.
- Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
- Create and maintain documentation for architecture, requirements, and process flows.
- Support internal Geotab teams to assist with data integration with newly developed big data platforms.
Data Platform Developer Intern, Ingestion/Digestion & Applications
- Develop and maintain new data infrastructure platforms managing the data ingestion and stream processing of Geotab’s internal data lake.
- Develop processes to enrich Geotab’s big data with telematics data at scale.
- Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s big data infrastructure.
- Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
- Create and maintain documentation for architecture, requirements, and process flows.
- Support internal Geotab teams to assist with data integration with newly developed big data platforms.
What you'll bring to the role:
- Pursuing a Degree/Diploma in Computer Science, Software or Computer Engineering, or a related field.
- Experience in Data Engineering or a similar role.
- Experience using Python, Java, or C#.
- Knowledge of large language models and generative AI related frameworks such as Langchain, LlamaIndex, AutoGen is a big plus.
- Knowledge of machine learning related frameworks such as Ray, MLflow, Airflow is a big plus.
- Knowledge of application containerization, such as Docker, Kubernetes is a big plus.
- Knowledge of Linux/Unix OS and shell/command language is preferred.
- Experience with API design and implementation is preferred.
- Familiar with Big Data environments (e.g. Compute Engine, Google BigQuery).
- Knowledge of data management fundamentals and data storage principles is preferred.
- Excellent oral and written communication skills.
- Strong analytical skills with the ability to problem solve well-judged decisions.
- Highly organized and able to manage multiple tasks and projects simultaneously.
- Strong team player with the ability to engage with all levels of the organization.
- Entrepreneurial mindset and comfortable in a flat organization.
How we work:

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