Job Description

Report To : VP of Engineering I Department: Engineering Team I Location: Pasadena, CA | Duration: 10 - 12 Weeks (start and end date is determined by academic calendar)

Why You’ll Love Interning Here:

• Strong track record of providing an inclusive culture of belonging and empowerment in an entrepreneurial environment.

• Gain real world experiences and become more marketable as you partner with the very best minds in our industry.

• Flexible schedules and work-from-home opportunities; casual dress environment.

What You’ll Be Doing:

Supplyframe, recently acquired by Siemens, is currently recruiting students to kick off our Summer 2025 Internship Program.

We are looking for a talented and ambitious Data Engineer Intern. This individual will have the opportunity to expand and enhance our big data platform to deliver clean, structured data to both our internal and external customers. As we expand our capabilities in the areas of data mining, machine learning, and big data analysis, this position will be key to help deliver value to our end users. They will also have the unique opportunity to create new data products from our data lakes while working to enhance the cluster's stability and flexibility.

Our goal is to empower our students to become the next generation of leaders at our company!

• Develop and automate data pipelines using MapReduce/Spark to model large data sets

• Performing algorithm development and implementation in production systems

• Developing software in Java, Scala, or 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 our reporting/analytics platforms to support business insight for internal and external users

• Maintain data integrity by enhancing our 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

Who/What We Are Looking For:

• Actively enrolled as a university student and in pursuit of a Bachelor's degree in Computer Science, Statistics, Mathematics or a related quantitative discipline.

• Experience with:

• Java/Scala experience working with unstructured data and perform raw text processing

• Data analysis and the ability to translate raw, technical data into actionable insight

• Using Hadoop/Spark

• Comfortable with Unix shell or other scripting languages.

• Demonstrate clear understanding of web analytics and tracking.

• Comfortable working with open-source tools and have the self-learning ability 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.

The hourly range for this position is $43.27 to $48.08 . The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training.

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Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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Job Tags

Hourly pay, Full time, Temporary work, Casual work, Summer internship, Local area, Work from home, Flexible hours,

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