Job Details:

Job Description: 

You will be part of a team, tasked with the development of Customer Fleet and Scale Capabilities for server clients, ensuring timely and high-quality launches of Intel server initiatives, alongside enhancing in-Fleet product experiences. We’re looking for someone who is a fast learner, goal-driven, and thrives in a fast-paced setting. The role demands the ability to quickly grasp new concepts, adapt, and deploy top-tier software solutions for data analysis in line with Intel’s Software compliance standards. This role primarily involves analyzing data from System Health Check applications within Data Centers. Tasks may include executing queries on cloud-hosted databases and updating existing data visualization code to deliver analytical insights to stakeholders as needed.

Qualifications:

Minimum Qualification:
A Bachelor’s Degree in Computer Science and Engineering, Data Science, Software Engineering, or a related discipline with at least 3 months of experience in:

• Modifying the code for data visualization layers (Python).
• Developing code for data processing to support data-marts from existing data warehouses.
• A proactive approach and commitment to delivering results.
• Suggesting and updating data dashboards.
• Utilizing frameworks and programming in Python and SPARK/PySpark.
• A portfolio (e.g., GitHub repository) showcasing relevant skills and experiences is a plus.

Preferred Qualifications:

• Master’s degree
• Exceptional communication skills in English, both written and verbal.
• Understanding on Data-quality metrics and Data-quality metrics evaluation procedures.
• Excellent teamwork and communication abilities, comfortable in uncertain and complex decision-making scenarios.
• Familiarity with software engineering practices, including design patterns, object-oriented development, source control, service-oriented architecture, and software design methodologies.
• Experience in designing data models to meet customer requirements and proposing optimizations for internal storage models and schemas.
• Experience with Cloud Solutions/Infrastructure (Docker, Kubernetes, Azure, etc.) as a power user.

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

US, California, Folsom, US, California, San Jose

Business group:

The Data Platforms Engineering and Architecture (DPEA) Group invents, designs & builds the world’s most critical computing platforms which fuel Intel’s most important business and solve the world’s most fundamental problems. DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

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, as well as, benefit programs which include health, retirement, and vacation.  Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in

US, California:$40,000.00-$108,000.00

Salaryrangedependent on a number of factors including location and experience.

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. In certain circumstances the work model may change to accommodate business needs.