Job Description

　　As an integral part of Intel's new IDM2.0 strategy, we are establishing Intel Foundry Services (IFS), a fully vertical, standalone foundry business, reporting directly to the CEO. IFS will be a world-class foundry business and major provider of US and European-based capacity to serve customers globally. Intel Foundry Services will be differentiated from other Foundry offerings with a combination of leading-edge packaging and process technology, committed capacity in the US and Europe.

　　As a Data Engineering intern, you will build foundational components of IFS data architecture, innovating new workflows and contributing to the strategy and evolution of future analytics solutions. You will work across different systems and tools to model new data sources and create a foundation for centralized, self-service analytics. You will collaborate with internal partners and communicate results and impact to our stakeholders. We are looking for a candidate with a strong background in query languages, data modeling, programming, and the ability to grasp our organization's technical foundations quickly while owning and delivering impactful results in a fast-paced environment.

　　As successful candidate you must possess:

　　Good communication and interpersonal skills

　　Customer-focused mindset when owning and delivering analytics solutions.

　　Detail-oriented with a collaborative problem-solving approach.

　　Qualifications

　　Minimum qualifications are required 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.

　　Minimum Qualifications:

　　Must be pursuing a master's degree in computer science, data science, information technology, or related STEM field.

　　Demonstrated experience or knowledge in advanced SQL and Python

　　Strong foundation in data modeling strategy (using query languages to define optimized relationships between disparate tables and data sources)

　　Familiarity with Linux fundamentals

　　Foundational understanding of

　　o Data architecture frameworks

　　o ETL processes

　　o Emerging technologies such as cloud computing, generative artificial intelligence, and data virtualization.

　　Preferred Qualifications:

　　Basic experience or familiarity with JavaScript, React, and Denodo as a data virtualization layer

　　Experience creating data models in Looker

　　Inside this Business Group

　　Intel Foundry Services (IFS) is an independent foundry business that is established to meet our customers' unique product needs. With the first "Open System Foundry" model in the world, our combined offerings of wafer fabrication, advanced process, and packaging technology, chiplet, software, robust ecosystem, and assembly and test capabilities help our customers build their innovative silicon designs and deliver full end-to-end customizable products from Intel's secure, resilient and sustainable source of supply.

　　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.

　　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://jobs.intel.com/en/benefits)

　　Annual Salary Range for jobs which could be performed in US, Colorado, New York, Washington, California: $63,000.00-$166,000.00

　　*Salary range dependent on a number of factors including location and experience

　　Working Model

　　This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as 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.