Data Engineer Intern - Multiple Teams

## The Opportunity Join our dynamic EY Tax team, where our global expertise and deep technical knowledge across all tax disciplines are enhanced by the latest in innovation and cutting-edge technology. We pride ourselves on exceptional client service, strong accountability, and governance, making us the top choice for industry executives and the largest revenue-generating US and global tax practice. Our Tax Technology and Transformation (TTT) team offers services to enhance the operational efficiency of tax functions and the delivery of technical services, supported by a team of over 1,200 professionals. Our core focus areas include transforming tax functions, integrating with finance and business processes, and optimizing enterprise systems, all bolstered by strategic alliances. We aim to revolutionize tax and finance operations through strategy development, digitalization, and leveraging technology to automate compliance, reporting, and provide valuable insights to our clients. ## Your Key Responsibilities As an Intern within the Tax Technology & Transformation Data Team, you'll work alongside tax, technology, and data professionals to leverage analytics, AI, and cloud technologies to transform tax operations. You'll gain hands-on experience with enterprise data platforms, business intelligence tools, and real-world client engagements while helping deliver innovative business solutions. Your day-to-day responsibilities may include: - Documenting business requirements, data definitions, process flows, and technical specifications. - Supporting data collection, cleansing, validation, and transformation activities across multiple tax and finance data sources. - Working with structured and unstructured datasets to identify trends, data quality issues, risks, and opportunities. - Helping design and implement data pipelines and automation solutions that improve operational efficiency. - Assisting with data migration and integration activities involving ERP, finance, and tax systems. - Performing data profiling, reconciliation, and quality analysis to ensure completeness and accuracy. - Supporting AI and advanced analytics initiatives, including machine learning and generative AI use cases. - Assisting in the development of dashboards, reports, and visualizations using business intelligence tools to support decision-making. - Collaborating with cross-functional teams including tax professionals, data engineers, solution architects, and business stakeholders. - Researching emerging technologies and industry trends related to Data & Analytics, Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, and AI. - Preparing client-ready deliverables, presentations, and project documentation. - Taking ownership of assigned workstreams and ensuring timely completion of deliverables. ## Skills and attributes for success To qualify for the role, you must have: - A predicted undergraduate or graduate degree in Data Science, Computer Science, Information Systems, Business Analytics, Data Engineering, Management Information Systems, Accounting Information Systems, or a related field; supported by a strong academic record. - 3.0 cumulative college/university GPA. - Working knowledge of SQL and data analysis concepts. - Data extraction, transformation, and loading (ETL). - Database querying and data manipulation. - Experience with Microsoft Excel and data visualization tools. - Familiarity with at least one programming language such as Python, R, or SQL. - Interest in cloud data platforms and enterprise technology solutions. - An interest working in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. - Access to reliable transportation to/from the EY office and client sites. A driver’s license is strongly recommended as ride share and public transportation options may not be available in all locations. - The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs. - You must reside within a commutable distance of the office location associated with this position. - Candidates must be legally authorized to work in the U.S. without the need for employer sponsorship, now and in the future.