Entry Level Engineering and Technology Careers

Your engineering or computer science background can take you in different directions at PwC. Explore opportunities to use your technical skills in consulting or take a hands-on role building technology.

Put your technical skills to work

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Technology careers don’t always fall neatly into one path. Whether you want to use your technical skills in consulting or spend more of your time designing and building technology, learn more about the paths below to see where you might want to start.
Depending on the opportunity, relevant areas of study may include:

  • Artificial Intelligence
  • Computer Engineering
  • Computer Science
  • Data Analytics
  • Data Science
  • Engineering
  • Information Systems
  • Information Technology
  • Machine Learning
  • Management Information Systems
  • Mathematics
  • Software Engineering

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Where your engineering degree can take you

See how your technical background could translate into different career paths at PwC.
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Use your technical background in consulting

Apply your technical knowledge to help organizations solve complex business and technology challenges. You may work with clients to understand their needs, improve processes, implement technology, analyze data or develop strategies for transformation. 

You may enjoy this path if you like: 

  • Solving business problems with technology 
  • Working with clients and teams 
  • Understanding how organizations operate 
  • Technology strategy and transformation 
  • Data and analytics 
  • Turning complex ideas into practical solutions 
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Build technology and engineering solutions

Use your technical skills to architect, code, engineer and operationalize technology solutions that address client and firm needs. Depending on the role, you could work with software, AI, data, cloud technologies, applications and digital platforms—helping develop the tools and platforms for PwC teams and clients.

You may enjoy this path if you like: 
 
  • Writing code and building applications 
  • Software engineering 
  • Artificial intelligence and machine learning 
  • Data engineering 
  • Cloud technologies 
  • Designing, testing and improving technology