DTCO Data Engineer Intern

Job Details Job Description The Role and Impact Are you ready to make an impact at the forefront of data science and analytics? Join Intel as a Data Science and Analytics Undergraduate Intern and become part of a team leveraging data‑driven insights to drive innovation and improve business decisions. In this role, you will contribute to Intel's success by uncovering patterns in large datasets, building data models and visualizations, and supporting projects that shape the future of Intel's platforms. This opportunity offers hands‑on experience, skill‑building, and collaboration with talented professionals to solve real‑world challenges and make meaningful contributions to Intel's mission of creating world‑changing technology. Responsibilities Assist in the collection, analysis, and interpretation of large datasets to uncover meaningful insights. Develop and maintain data models, dashboards, and visualizations to support decision‑making and enhance the user experience across Intel platforms. Collaborate with data scientists, analysts, and engineers on data‑driven projects that align with Intel's business goals. Support data validation and cleansing processes to ensure data accuracy and quality. Contribute to problem‑solving initiatives and data storytelling to communicate insights effectively to stakeholders. Gain hands‑on experience and explore career opportunities through projects in a collaborative environment. Qualifications Minimum Qualifications Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proficiency in data analysis tools such as Python, R, or SQL. Experience with data visualization tools such as Tableau, Power BI, or similar platforms. Strong foundation in data validation, cleansing, and statistical analysis. Familiarity with reporting tools and techniques to present findings effectively. Preferred Qualifications Strong problem‑solving skills with the ability to analyze complex datasets and derive actionable insights. Effective collaboration and communication skills to work in a multidisciplinary team environment. Enthusiasm for learning and applying new data science techniques and technologies. Demonstrated ability to manage time and prioritize tasks in a fast‑paced setting. Job Type Student / Intern Shift Shift 1 (United States of America) Primary Location US, Texas, Austin Business Group The Central Engineering Group (CEG) is Intel's data‑driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer‑driven, end‑to‑end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses. 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, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range 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 This role will require an on‑site presence. Job posting details (such as work model, location or time type) are subject to change. #J-18808-Ljbffr Intel