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We are looking for a Data Platform Engineer Intern to join ResMed’s data platform team and gain hands-on experience building and supporting modern, cloud-based data systems. This internship is designed for students or early-career engineers who are eager to learn how data platforms are built in production and want exposure to real-world analytics, data engineering, and cloud technologies. As an intern, you’ll work alongside experienced engineers who will mentor you, provide guidance, and help you grow your technical skills while contributing to meaningful projects that support ResMed’s global data ecosystem.
Job Responsibility:
Assist in building and maintaining data pipelines for ingesting, transforming, and delivering data using Python, SQL, and modern data tools
Contribute to analytics and data models in Snowflake using dbt or similar transformation frameworks
Learn how cloud-native data platforms are built and operated on AWS
Support testing, documentation, and monitoring efforts to help ensure data quality and reliability
Collaborate with data engineers, analytics engineers, and data scientists to understand how data is used across the organization
Participate in code reviews, team discussions, and design sessions to build strong engineering fundamentals
Gain exposure to data platforms that support analytics, reporting, and early-stage ML/AI use cases
Requirements:
Ability to work full-time for 12 weeks during Summer 2025
Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related STEM field
Foundational knowledge of programming concepts
experience with Python, SQL, or similar languages through coursework, projects, or personal learning
Interest in data engineering, data platforms, and cloud technologies
Basic understanding of software engineering concepts such as version control, testing, or debugging
Curiosity, willingness to learn, and comfort asking questions in a collaborative environment
Nice to have:
Exposure to SQL-based data analysis or modeling through coursework or projects
Familiarity with cloud platforms (AWS preferred) from classes, labs, or personal projects
Experience with Git/GitHub through school or open-source work
Coursework or projects related to databases, distributed systems, or data engineering
Interest in analytics, machine learning, or AI-driven data use cases
What we offer:
Gain hands-on experience, learn from experts, and collaborate with teams
Work directly with a mentor in your field of study while finding solutions to real world problems
Experience our products up close by working with one of our Digital Health Technologies teams
Interact directly with our company leaders
Build a lasting professional network through social events and engaging activities
Gain the skills and knowledge to become a future leader in the medical technology industry