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Intel
Folsom, California, United States
(on-site)
Posted
1 day ago
Intel
Folsom, California, United States
(on-site)
Job Type
Full-Time
Data Platforms Engineering Intern
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Data Platforms Engineering Intern
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Job Details:Job Description:
Contributes to the development, maintenance, and optimization of Intel's information technology infrastructure to support internal business operation, including enterprise applications, data center engineering, network operations, and IT systems operations. Assists in system configuration, data center operations, and/or troubleshooting of hardware and software issues. May collaborate with crossfunctional teams to support cloud, network, and database solutions that enhance business efficiency. As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through handson experience and projects that support Intel business goals in a collaborative environment
Qualifications:
You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Relevant experience can be obtained through schoolwork, classes and project work, internships, military training, and/or work experience.
Minimum Qualifications:
The candidate must have obtained a bachelor's in computer science or related and working towards a master's degree focusing on Computer Science or related computational discipline.
- BE/BS or MS in Computer Science/ Engineering with 2+ years' experience.
Minimum 3+ months experience or coursework in the following:
- Python programming.
- Golang development.
- Development experience with Kubernetes and internals.
- Data engineering.
- D esigning and implementing big data solutions using Kubernetes open-source capabilities and Golang development. (Trino, Spark)
Preferred Qualifications:
- Experience with Agile, DevOps, CI/CD capabilities.
- Experience in reporting tools.
- Leadership, critical thinking, excellent verbal, written communication, and presentation skills.
- Must have advanced hands-on big data development experience including but not limited to Python, Scala, Jupyter notebooks, Linux shell scripting, Spark frameworks within Kubernetes open-source stack.
- Experience engineering and managing disaggregated platform architectures utilizing the Kubernetes framework to enable both on premise open-source compute and/or storage capabilities.
- Experience working independently on troubleshooting/resolving issues, capturing/analyzing benchmark performance, and reporting out findings.
- Problem-solving and analytical.
Job Type:
Student / Intern
Shift:
Shift 1 (United States of America)
Primary Location:
US, California, Folsom
Additional Locations:
Business group:
Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .
Annual Salary Range for jobs which could be performed in the US: $75,900.00-102,600.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Requisition #: JR0279842
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Job ID: 83087944

Intel
United States
Managing your career and your personal life can be challenging. Intel is committed to making it easier. We want to help our employees make the most of both worlds. Whether you are a parent or have education goals, eldercare responsibilities, or just some of life's details to attend to, we have a variety of programs in place around the world to help. To address the diverse needs of our employees, we offer a range of options that varies across businesses, geographies, sites, and job types.
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