Siemens Digital Industries Software 

Strategic Student Program (SSP) 

Discover your career with us at Siemens Digital Industries Software!  

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster!  With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.   

We’re currently recruiting co-ops and interns for our Summer 2026 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.   

Baseline Program Requirements:

• Currently enrolled as an undergraduate student at an accredited university
• Legally authorized to work in the United States without the need for current or future sponsorship by the company
• A minimum 3.0 GPA 

Perks:

• Employee discounts at our top customer sites
• Networking with our global leaders
• Mentorship from senior employees
• Individual career development planning
• Professional and technical workshops
• Paid volunteer time off
• Energetic student community
• Leadership opportunities
• Potential for full-time offers after university graduation and completion of the program 

Position Overview: 

We are looking for a talented and ambitious Data Engineering Intern to join our team. 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.

Key Responsibilities:

• Develop and deploy scalable data pipelines using MapReduce and Spark.
• Build software solutions in Java, Scala, or languages
• Enhance existing data frameworks in the data lake to accommodate projected growth and evolving business objectives
• Oversee data lake scaling, including space allocation, job optimization, and data partitioning strategies
• Expand the functionality of reporting and analytics platforms to deliver actionable business insights for internal and external stakeholders
• Uphold data integrity by improving mechanisms to detect and remove content from malicious sources, such as bots, scrapers, and penetration testers
• Evaluate and integrate emerging technologies to enable rapid scaling and introduce new capabilities

Requirements:

• Actively enrolled as a university student pursuing a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
• Experience with:
• Java or Scala, particularly in handling unstructured or semi-structured data
• Data analysis and translating complex technical data into actionable insights
• Hadoop and Spark ecosystems
• Comfortable with Unix shell scripting or other scripting languages
• Familiarity with web analytics and tracking tools
• Proficiency in working with open-source tools, coupled with strong self-learning skills to adapt them with minimal guidance
• Solid understanding of software development best practices and version control systems (e.g., Git)

The hourly range for this position is $18.00 to $50.00. Siemens offers a variety of health and wellness benefits to employees. The actual compensation offered is based on the successful candidate’s work location, as well as degree type and relevant education. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave and paid volunteer time off.

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