Cloud Engineering, Data & Analytics - Software Engineering Intern - Summer 2027

PwC; Los Angeles (CA); On-site; USD 40,000 - 66,000; Full time

Job summary

PwC is seeking an intern in Cloud Engineering, Data & Analytics to contribute to the design and development of cloud platforms and analytics solutions. You will support teams in building scalable data architectures and participate in data-driven workflows using Azure Data Factory and Apache Airflow.

You will learn PwC practices, assist with projects, and contribute to client-facing data engineering initiatives in a collaborative environment as you advance your career in technology and analytics.

Qualifications

• Currently pursuing or have completed a Bachelor’s degree.

Responsibilities

• Support design and development of scalable cloud platforms and data architectures.
• Contribute to data-driven workflows using Azure Data Factory and Apache Airflow.
• Assist in data integration and transformation to enable insight-driven decisions.
• Observe and learn from PwC data engineers and architects.
• Help optimize data pipelines and infrastructure.

Skills

Data Eng Basics

Cloud Platforms

Data Modeling

Analytics & BI

Education

Bachelor’s degree

Tools

AWS

Azure

Apache Airflow

Azure Data Factory

Apache Hadoop

Job description

Industry/Sector

Not Applicable

Specialism

Platform Engineering & Architecture

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity

As a Cloud Engineering, Data & Analytics - Software Engineering Intern, you will immerse yourself in the dynamic world of data engineering, contributing to the design and development of cloud platforms and analytics solutions that drive insight-driven decision-making. Within our Advisory practice, you will support teams in guiding clients towards sustainable growth and competitive advantage in today’s market. This role offers a unique chance to engage with cutting-edge technologies and methodologies, enhancing your understanding of data architecture and integration.

As an Intern, you will focus on learning and gaining exposure to PwC’s practices, supporting teams with basic tasks and participating in projects. You will observe professional work environments and contribute reliably to the team’s success. This role emphasizes the importance of adopting a learning mindset, actively listening, and applying professional standards. You will have the opportunity to ask questions, take initiative, and produce quality work that adds value for our clients.

In this role at PwC, you will be part of a collaborative environment where you can develop your skills in data engineering and cloud technologies, setting the foundation for your future career in technology and analytics.

Responsibilities

• Supporting teams in designing and building scalable cloud platforms and data architectures
• Participating in the development of data-driven workflows using Azure Data Factory and Apache Airflow
• Assisting in the integration and transformation of data from various sources to enable insight-driven decision-making
• Observing and learning from professionals in the field of data engineering and analytics
• Contributing to the management and optimization of data pipelines and infrastructure
• Engaging in basic tasks and research to support client projects and operations
• Applying agile scalability principles to adapt to changing requirements and market demands
• Utilizing Amazon Web Services (AWS) for cloud computing solutions and database storage
• Collaborating with teams to enhance data quality and validation processes
• Developing skills in data modeling and data warehouse indexing for efficient data management

What You Must Have

• Currently pursuing or have completed a Bachelor’s degree
• Client service intern positions are considered entry-level roles. Candidates are typically in their third year of a four-year degree program or fourth year of a five-year program at the time of application

What Sets You Apart

• Preference for at least one of the following fields of study: 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, Statistics
• Preferred cumulative GPA: 3.3
• Preferred major GPA: 3.3
• Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
• Gaining exposure to cloud platforms like AWS and Azure
• Participating in data engineering projects using Apache Hadoop
• Developing skills in data integration and transformation techniques
• Observing and learning from experienced data architects and engineers

Travel Requirements

Up to 80%

Job Posting End Date

December 11, 2026

The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual’s skills, experience, qualifications and location, and applicable employment laws.

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.