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Data Engineer Intern

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ResMed

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Location:
United States , San Diego

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Contract Type:
Not provided

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Salary:

23.25 - 42.75 USD / Hour

Job Description:

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

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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