Cloud Engineering, Data & Analytics - Software Engineering Intern - Summer 2027
About The Position
As a Cloud Engineering, Data & Analytics Software Engineering Intern in PwC’s Advisory practice, you will learn about data engineering while supporting the design and development of cloud platforms and analytics solutions. You will contribute to client projects, participate in project work, and complete basic tasks while gaining exposure to data architecture, integration, cloud technologies, and analytics. The role emphasizes a learning mindset, active listening, initiative, and professional standards. You will work collaboratively with teams and contribute reliable, quality work that supports clients and the team’s success.
Requirements
- Currently pursuing or have completed a bachelor’s degree.
- Candidates for client service intern positions are typically in the third year of a four-year degree program or the fourth year of a five-year program at the time of application.
Nice To Haves
- Preference for study in one or more of the following areas: Business Analytics, Computer Engineering, Computer Information System, Computer Programming, Computer Science, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems, Mathematics, or Statistics.
- Preferred cumulative GPA of 3.3.
- Preferred major GPA of 3.3.
- Leverage AI to create efficiencies, innovate ways of working, and deliver distinctive outcomes.
- Exposure to cloud platforms such as AWS and Azure.
- Participation in data engineering projects using Apache Hadoop.
- Develop skills in data integration and transformation techniques.
- Observe and learn from experienced data architects and engineers.
Responsibilities
- Support teams in designing and building scalable cloud platforms and data architectures.
- Participate in developing data-driven workflows using Azure Data Factory and Apache Airflow.
- Assist with integrating and transforming data from multiple sources.
- Observe and learn from data engineering and analytics professionals.
- Contribute to managing and optimizing data pipelines and infrastructure.
- Perform basic tasks and research to support client projects and operations.
- Apply agile scalability principles to adapt to changing requirements and market demands.
- Use Amazon Web Services (AWS) for cloud computing solutions and database storage.
- Collaborate with teams to improve data quality and validation processes.
- Develop skills in data modeling and data warehouse indexing.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
