University, Data Engineering Intern at Booz Allen… · Crane

Summary: Booz Allen Hamilton is a technology and consulting firm, and they are seeking a Data Engineering Intern to assist in the creation of a secure, scalable enterprise data lake. The intern will support data engineering efforts, including the design, development, and implementation of data pipelines, and will learn from a multi-disciplinary team in a fast-paced environment. Responsibilities: - Assist in the design, development, and implementation of an enterprise data lake that serves as a single, 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Python, Apache Spark, AWS services Important Skills: ETL processes, Data visualization Nice-to-Have Skills: Microsoft Excel, Problem-solving, Attention to detail, Communication skills Benefits: Health, life, disability, financial, and retirement benefits, Paid leave, Professional development, Tuition assistance, Work-life programs, Dependent care