Data Engineer Intern (Supplyframe)

$90,002 - $100,006/Yr

Siemens - Pasadena, CA

Full-time - Intern

Remote - Pasadena, CA

Machinery Manufacturing

About the position

The Data Engineer Intern position at Supplyframe, a Siemens company, offers students the opportunity to gain hands-on experience in data engineering within a supportive and inclusive environment. Interns will work on enhancing the company's big data platform, focusing on data mining, machine learning, and big data analysis to deliver structured data to customers. This role is designed to empower students to develop their skills and prepare for future leadership roles in the industry.

Responsibilities

• Develop and automate data pipelines using MapReduce/Spark to model large data sets
• Perform algorithm development and implementation in production systems
• Develop software in Java, Scala, or a scripting programming language
• Improve existing data frameworks within the data lake to handle anticipated growth and new objectives
• Manage data lake scaling with regards to space allocation, job optimization, and data partitioning
• Increase the capabilities of reporting/analytics platforms to support business insight for internal and external users
• Maintain data integrity by enhancing the ability to remove content generated by undesirable actors such as bots, scrapers, and pen testers
• Identify and configure additional technologies to allow for rapid scaling and new capabilities

Requirements

• Actively enrolled as a university student pursuing a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline
• Experience with Java/Scala working with unstructured data and performing raw text processing
• Data analysis skills with the ability to translate raw, technical data into actionable insights
• Experience using Hadoop/Spark
• Comfortable with Unix shell or other scripting languages
• Demonstrated understanding of web analytics and tracking
• Comfortable working with open-source tools and self-learning to get tools to work with limited instruction
• Understanding of software development best practices and revision control (git)
• Authorized to work in the United States without the need for current or future sponsorship by the company

Benefits

• Flexible schedules and work-from-home opportunities
• Casual dress environment