The Data Engineer role at EY focuses on supporting the reporting and analytical ecosystem by designing, developing, and maintaining data pipelines and reporting infrastructure. This position is part of the Government and Public Sector team, which aims to help clients achieve their mission outcomes through innovative data solutions. The role requires collaboration with various stakeholders to ensure reliable access to validated enterprise data for decision-making. The ideal candidate will contribute to building a better working world through effective data management and analytics.

• Eligible to obtain and maintain a Secret Clearance.
• Bachelor's degree.
• 3+ years of experience in data engineering or database development.
• Strong SQL and ETL development experience.
• Experience with Python and data integration tools.
• Experience working with enterprise-scale data environments.
• Knowledge of data quality, governance, and reporting processes.

• Design, build, and maintain data pipelines and ETL processes.
• Integrate structured and unstructured data from multiple source systems.
• Support recurring report generation and dashboard development.
• Implement validation, quality assurance, and reconciliation processes.
• Develop automated reporting and data-processing solutions.
• Support data governance, metadata management, and documentation requirements.
• Collaborate with STU, ITM, DQI, and OCIO stakeholders.
• Participate in business requirements gathering and technical implementation planning.
• Perform database optimization and performance tuning.
• Support IIDS enhancements, automation initiatives, and reporting modernization efforts.
• Develop and maintain technical documentation, SOPs, and operational guides.
• Support testing, deployment, and maintenance activities for reporting solutions.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.