Java Software Engineer for Big Data Applications

Job Description

Organization: Corporate Technology
Business Unit: Research in Digitalization and Automation
Requisition Number: 240075
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Bachelor's Degree
Travel Required: 10%

Division Description:

For nearly 170 years, pioneering technologies and the business models developed from them have been the foundation of Siemens‘ success. Our central research and development unit, Corporate Technology (CT) plays an important role in this. Together with our global network of experts, we are a strategic partner to Siemens’ operative units and provide important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. Our support provided to the businesses in their research and development activities is ideally balanced with our own future-oriented research.

We at Corporate Technology are more than employees: We are actively helping to make people’s lives a little better every day. Would you like to be a part of that? Then join us. We offer you a high level of practical relevance as well as an opportunity to individually contribute your knowledge and your visions around the world. Whether you’re helping to develop products for the operating units or working in interdisciplinary projects for the business areas: At Corporate Technology you’ll be working in the heart of Siemens’ technological research together with the best.

Job Description:

The Research in Digitalization and Automation (RDA), as part of Siemens Corporate Technology (CT), is at the heart of Siemens R&D. Our deep competence and expertise make us the preferred partner for innovation. We develop technologies with wide applicability so that Siemens may successfully bring innovations to market. Our scientists located around the world help create and retain a technological edge for Siemens in the focus area of automation, electrification and industrial digitalization. 

We are seeking a Java Software Engineer in Big Data Analytics and Machine Learning to be part of our growing Information Integration and Business Intelligence (IBI) Team which is part of the exciting and world-wide distributed Technology Field of Business Analytics and Monitoring.
The Information Integration and Business Intelligence Research Group focuses on exiting cutting edge technologies in big data analytics and machine learning to gain exceptional business insights from tremendous amount of data and data-sources to improve the competitiveness of Siemens Business Units to generate innovative new products and business models used around the world.

This engineer will contribute to our research activities by applying modern data analytics and machine learning on variety of structured and unstructured data from wide area of different industries such as automation, energy, healthcare, building automation and mobility with the goal to improve business insights and help various business units to gain competitive advantage in their markets.

The Engineer in Big Data Analytics will be responsible for developing new algorithms and code prototypes as proof of concept in the new research area of Security, Safety and Compliance in collaboration with our security research group and also contribute to current analytics research for business analytics and monitoring.


• Research, design, and implement algorithms that power knowledge inference and online recommendations,

• Develop highly efficient algorithms and database schema to process huge amount of data
• Fast prototyping, feasibility studies, specification and implementation of data analysis product components.
• Working with customers to understand algorithm requirements and deliver high-quality solutions.

Required Knowledge/Skills, Education, and Experience

•Candidate must have Master degree with 3-5 years of Experiences in the field of Java Software development in the area of Big Data Analytics,

 •Degree in Computer Science or Information Technology preferred. 

•Strong proficiency in Software development in Java and Spring Framework

•Strong proficiency in Web Services and Client –Server Architectures
•Strong proficiency in Big Data tools and their configuration & setup is a plus.

•Strong proficiency in NoSQL databases (e.g MongoDB, Cassandra, etc.). 

•Strong proficiency in ETL tools (e.g. Talend, Spring Batch, etc.). 

•Capability for quick prototyping
•Outstanding written and verbal communication skills in English are required.
•Excellent interpersonal skills and a can-do attitude
•Strong collaboration skills and ability to thrive in a fast-paced environment
•Flexibility and adaptability to work in a growing, dynamic team

•Ability to work with controlled technology in accordance with US export control law required. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on

Preferred Knowledge/Skills, Education, and Experience

•Proficiency in security and compliance analytics preferred.

•Proficiency in SAP, Hadoop and Spark
•Proficiency in parallel computing & distributed algorithms
• Previous experience or knowledge in the field of probabilistic reasoning, uncertainty quantification, dimensionality reduction, decision trees, and design analysis is preferred.

• Previous experience or knowledge in the field of  machine learning/deep learning. 


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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.

Can't find what you are looking for?

Let's stay connected

Can't find what you are looking for?