The University, Data Engineering Intern will assist in the creation of a secure, scalable enterprise data lake through the full data lifecycle. The role involves designing, developing, and implementing an enterprise data lake, aggregating, cataloging, and securing multiple data sets, and supporting advanced analytics and data-driven decision-making.
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
Benefits
- Health benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards