University, Data Engineering Intern

Booz Allen Hamilton is a leading consulting firm that focuses on using technology to drive impactful solutions. They are seeking a Data Engineering Intern to assist in creating a secure and scalable enterprise data lake, supporting data aggregation, and enabling advanced analytics for various client missions.

Responsibilities:

• Assist in the design, development, and implementation of an enterprise data lake that serves as a single and authoritative source of truth for a government command
• Support data engineering efforts to aggregate, catalog, and secure multiple data sets, enabling advanced analytics and data-driven decision-making
• Support the identification and integration of authoritative data sources and assist in engineering Extract, Transform, Load (ETL) pipelines to ingest data into the enterprise data lake
• Leverage Python, Apache Spark, AWS Glue, and Amazon S3 to process, transform, and store structured and semi-structured data
• Assist in building and configuring data pipelines and validating data quality, integrity, and accessibility
• Contribute to the development of metadata, cataloging, and documentation to enhance data discovery and usability
• Support the use of AWS Athena for querying data and AWS QuickSight to develop visualizations that demonstrate insights, use cases, and process improvements
• Document ETL processes, data sources, and visualization artifacts
• Prepare and deliver a final presentation and prototype demonstration showcasing the enterprise data lake, pipelines, and visualizations within the Booz Allen development environment
• Ensure all work complies with internal standards, security requirements, and government client expectations

Requirements:

• Experience using Python for data manipulation and analysis
• Experience with big data or cloud-based data processing tools, such as Apache Spark or AWS services
• Knowledge of ETL processes and data ingestion pipelines
• Ability to work within a secure development environment and follow data handling guidelines
• Ability to obtain a Secret clearance
• Scheduled to obtain a Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or Analytics by Spring 2027
• Experience working with AWS services, such as Glue, S3, Athena, or QuickSight
• Experience creating or supporting enterprise data lakes or centralized data repositories
• Experience developing data visualizations to support decision-making
• Experience with Microsoft Excel for data organization and analysis
• Ability to document technical processes and communicate results through presentations
• Ability to collaborate effectively with peers, mentors, and cross-functional teams
• Ability to pay strict attention to detail
• Ability to be articulate, organized, and professional when engaging with technical and non-technical stakeholders
• Possession of strong problem-solving skills