Position Details
About this role
Intel Data Platforms Engineering Intern contributes to IT infrastructure development, focusing on data engineering, Kubernetes, and big data tools to support internal operations.
Key Responsibilities
- Contribute to development and optimization of IT infrastructure
- assist in system configuration and troubleshooting
- collaborate on cloud, network, and database solutions
- learn and apply big data solutions with Kubernetes and Go
- support crossfunctional teams
Technical Overview
Stack includes Python, Golang, Kubernetes, Trino, Spark, Linux shell scripting, Jupyter notebooks; hybrid on-site/off-site work model; exposure to CI/CD and Agile/DevOps practices.
Ideal Candidate
The ideal intern candidate is pursuing a CS/engineering degree with 2+ years of coursework/experience in Python and Go, plus hands-on Kubernetes, data engineering, and big data tooling (Trino, Spark). They should thrive in a hybrid internship with exposure to Agile/DevOps practices and cloud deployments.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Not meeting minimum 2+ years of CS/engineering experience, Lack of Python or Golang experience
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