USA - Tax - Tax Technology and Transformation (TTT) - Data Engineering - Intern - Summer 2027

USA - Tax - Tax Technology and Transformation (TTT) - Data Engineering - Intern - Summer 2027 At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. USA - Tax - Tax Technology and Transformation (TTT) - Data Engineering - Intern - Summer 2027 Will you shape the future or will the future shape you? 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. Ideally, you will have: Cumulative college/university GPA of 3.2 or above Experience using Python for data analysis or automation. Familiarity with Power BI, Tableau, or similar visualization tools. Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud. Knowledge of Microsoft Fabric, Azure Data Factory, Databricks, Snowflake, Synapse, or related technologies. Understanding AI, machine learning, or generative AI concepts. Experience working on academic, internship, or research projects involving large datasets. Knowledge of how to leverage firm‑approved AI tools in a business setting, including Microsoft Copilot. What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers. The hourly pay range for this job, in the US, is $36.06 - $45.19 per hour. Individual salaries are based on education, geographic location, and alignment to the market data. If you join EY full time after your internship, we offer a competitive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. In addition, our Total Rewards package for full time hires includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. All in to shape the future with confidence. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io . #J-18808-Ljbffr Ernst & Young