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 contributing to the design and development of cloud platforms and analytics solutions. You will support teams working with clients on sustainable growth and competitive advantage, gaining exposure to data architecture, integration, cloud technologies, and analytics. The role emphasizes learning PwC’s practices, supporting teams with basic tasks, and participating in projects. You will observe professional work environments, listen actively, ask questions, take initiative, apply professional standards, and produce quality work that contributes to client and team outcomes. You will work collaboratively to develop skills in data engineering and cloud technologies. The position requires travel of up to 80%. The listed salary range is $29.25–$48.00; actual compensation depends on skills, experience, qualifications, location, and applicable employment laws.
Requirements
- Currently pursuing or have completed a bachelor's degree.
- Candidates 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 fields: 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.
- Gain exposure to cloud platforms such as AWS and Azure.
- Participate 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 various sources to support insight-driven decision-making.
- Observe and learn from professionals in data engineering and analytics.
- Contribute to the management and optimization of 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 for efficient data management.
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What This Job Offers
Career Level
Intern
