Data Engineering Intern (Start ASAP)

About Intel

Intel is a renowned semiconductor manufacturer, powering innovative computing solutions worldwide. Their cutting-edge technologies drive advancements in artificial intelligence, data centers, and the Internet of Things. With a rich history of delivering high-performance processors and a commitment to technological excellence, Intel remains a driving force in shaping the digital future.

Your role

As a Data Engineering Intern, you will be an integral part of the team, supporting the globally dispersed EMP organizations. The team operates using the SCRUM methodology, working on a variety of projects and contributing across a wide range of skill sets. Your role may involve creating a Python package from an advanced analytics model developed by the data scientist or creating SQL-stored procedures to transform data sourced from various origins. If you have the capability, you might also create or modify dashboards using Plotly/Dash.

As a Data Engineering Intern, your responsibilities will include, but are not limited to:

• Learning how to operate within a large organization
• Adapting to the SCRUM methodology
• Developing Python applications or SQL queries and stored procedures
• Performing experiments in new domains
• Collaborating with Intel engineers to help them achieve their quarterly key results

Training & development

Intel offers its employees extensive training & development opportunities, empowering them to enhance their skills and excel in their careers. With access to cutting-edge resources and mentorship programs, employees can participate in various training sessions to stay ahead in a fast-paced tech environment. Intel's commitment to fostering continuous growth and learning enables its workforce to drive innovation and make a meaningful impact on the world.

Benefits

Intel offers a total compensation package that ranks among the best in the industry. It consists of:

• Competitive pay
• Stock
• Bonuses
• Benefit programs include health, retirement, and vacation

Career progression

Intel encourages career growth by providing opportunities to try new things, work on diverse projects, and even explore international assignments, fostering a culture of continuous learning. The skills and experiences gained through internships at Intel can unlock doors to new job prospects.

Work-life balance

Intel offers diverse work arrangements, including compressed workweeks, flextime, telecommuting, and part-time/job-share roles, fostering work-life balance. This role will be eligible for their 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.

Culture & vibe

At Intel, employees enjoy a diverse work-life balance, supported by an employee-friendly environment. It thrives as a leader in the industry, offering cutting-edge technology and serving as a great learning hub for individuals at all levels. Continuous learning is fostered, accompanied by strong team bonding, creating an extraordinary work experience.

About you

The candidate must be a university student in Data Analytics/Engineering, Computer Science, Machine Learning, or Mathematics, with some experience in:

• Python or other object-oriented languages
• Software development
• SQL or database experience

Preferred Qualifications:

• Experience with Plotly/Dash
• Experience with SCRUM or other agile software development methodologies

The ideal candidate should exhibit the following behavioral traits:

• Excellent written and verbal communication skills in English, with the ability to communicate project status, risks, and required assistance
• A self-starter who is responsible, dependable, and inquisitive
• A desire to drive change and infuse a new mindset to streamline the business
• A willingness to challenge the status quo and a passion to drive smart change using data

Please note that this position is not eligible for Intel immigration sponsorship.

Source

The following sources were used in researching this page:

• jobs.intel.com/en
• youtube.com/@Intel