Cloud Engineering, Data & Analytics – Software Engineering Intern

PwC

. Support teams in designing and building scalable cloud platforms and data architectures .

Posted 10/28/2026full-timeUnited StatesEntry Level💰 $29 - $48 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in cloud platforms such as AWS and Azure, with a focus on data integration, transformation, and pipeline management. Possesses foundational knowledge in data modeling and analytics, supported by a relevant academic background.

Highest-signal resume keywords

Azure Data FactoryApache AirflowData IntegrationAWS Cloud ComputingData Pipeline Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData ModelingData TransformationData WarehousingData ProcessingAgile MethodologiesApache HadoopAI UtilizationCloud Platform DevelopmentData Quality Enhancement

Soft Skills

CollaborationClient Service OrientationAdaptabilityResearch SkillsCommunication

Tools & Technologies

Amazon Web ServicesAzureApache AirflowApache HadoopData Validation Tools

Industry Keywords

Business AnalyticsComputer ScienceInformation TechnologyData AnalyticsIndustrial Engineering

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudHadoop

About the role

Key responsibilities & impact

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 in integrating and transforming data from various sources
Observe and learn from professionals in data engineering and analytics
Contribute to management and optimization of data pipelines and infrastructure
Engage in basic tasks and research supporting client projects and operations
Apply agile scalability principles to changing requirements and market demands
Utilize Amazon Web Services (AWS) for cloud computing solutions and database storage
Collaborate with teams to enhance data quality and validation processes
Develop skills in data modeling and data warehouse indexing
Leverage AI to create efficiencies, innovate ways of working, and deliver distinctive outcomes
Gain exposure to AWS and Azure cloud platforms
Participate in data engineering projects using Apache Hadoop
Develop data integration and transformation skills

Requirements

What you’ll need

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
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
PwC does not intend to hire candidates who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the stated policy
Travel requirements: Up to 80%