Siemens Careers

Big Data Engineer

Atlanta, Georgia
Research & Development

English (US)

Job Description

Division: Mobility
Business Unit: Customer Services
Requisition Number: 239575
Primary Location: United States-Georgia-Atlanta
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Master's Degree
Travel Required: No

Division Description:

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationally for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in eight  Divisions: Power and Gas, Power Generation Services,  Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives,  and Financial Services.


Committed to the safe and reliable transportation of people and goods by rail and road, Siemens Mobility designs and manufactures across the entire spectrum of rolling stock, including commuter and regional passenger trains, light rail and streetcars, metros, locomotives, passenger coaches, and high-speed trainsets.  In the U.S., Siemens is providing rail vehicles, locomotives, components and systems to more than 25 agencies in cities such as D.C., New York, Boston, Sacramento, San Diego, and St. Louis.

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Job Description:

Siemens US Talent Acquisition

Position Overview 


As our Big Data Engineer for Digital Services you have the opportunity to co-create innovative data-analytics solutions for our rail customers with rolling stock assets, infrastructure assets, and rail asset management systems. The development and production of advanced analytical solutions and machine learning algorithms will be driven by you in close collaboration with a global team of data scientists and platform engineers. In this exciting role you will be able to collect requirements, drive the creation of proof-of-concepts and prototypes, create end-to-end analytics applications to deliver tangible value to our customers, and thus drive the growth of digital services in the North American market.


This position enjoys mentoring of junior staff, commits to agile software development, and reports to the Lead Data Scientist, Digital Rail Services, North America.


  • Collaborates closely with a global team of data scientists, engineering teams, solution architects, platform developers to develop innovative data-analytics prototypes and production solutions

  • Aggregates cloud-computing knowledge and is therefore a key enabler for our data scientists

  • Collaborates with the global platform engineering team to collect and communicate solution requirements

  • Organizes the development team and its solutions using agile software development

  • Is eager and self-driven to learn new services and stay on top of the latest trends in AWS cloud computing


Required Knowledge/Skills, Education, and Experience

  • Bachelors or Master’s degree in applied computer science or comparable degree, qualified IT specialist with several years of professional experience, or comparable qualification
  • 5 years of experience in professional software engineering

  • 3 years of relevant work experience

  • Proven experience in cloud-computing environments, either Amazon Web Services AWS or Google Cloud Platform

  • Demonstrably strong experience with programming languages Python, Java, or Scala.

  • Proven experience with large-scale data infrastructure, data processing, continuous integration and continuous delivery CI/CD

  • Experience in agile software development

  • Presentation skills

  • Committed to travel to our customers in the US (10%)



Preferred Knowledge/Skills, Education, and Experience

  • PhD in applied computer science or comparable degree
  • Preferred experience with video analytics and image processing
  • Experience with modern big data technologies like Hadoop, MapReduce, Kafka, MQTT, Spark, MQTT etc
  • Experience with machine-learning libraries or frameworks like TensorFlow, Keras, scikit-learn, PyTorch, MXNet

  • Creativity and lateral thinking for feature generation in the data

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.

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