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

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

Join EY and help to build a better working world. This opportunity allows you to shape your future within a globally connected powerhouse of diverse 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 a top choice for industry executives and the largest revenue-generating US and global tax practice.

Our Tax Technology and Transformation (TTT) team supports the operational efficiency of tax functions and the delivery of technical services, comprising over 1,200 professionals. Our core focus areas include transforming tax functions, integrating with finance and business processes, and optimizing enterprise systems, 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.

Key Responsibilities

As an Intern within the Tax Technology & Transformation Data Team, you will work alongside tax, technology, and data professionals to leverage analytics, AI, and cloud technologies to transform tax operations. You will 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.

Qualifications and Requirements

Required Skills and Attributes for Success

• 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.
• Minimum 3.0 cumulative college/university GPA.
• Working knowledge of SQL and data analysis concepts.
• Experience with Data Extraction, Transformation, and Loading (ETL).
• Database querying and data manipulation skills.
• 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.
• Must reside within a commutable distance of the office location.
• Must be legally authorized to work in the U.S. without the need for employer sponsorship now or in the future.
• Ability and willingness to travel and work in excess of standard hours when necessary, with potential travel beyond the work location based on client and project needs.
• Interest in our team-led and leader-enabled hybrid model; external, client-serving roles generally require 40-60% in-person time.
• Access to reliable transportation to/from the EY office and client sites; a driver’s license is strongly recommended.

Preferred Qualifications

• 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 of 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.

Compensation and Benefits

The hourly pay range for this position 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, a competitive compensation and benefits package is offered, rewarded based on performance and value delivered. This Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and numerous paid time off options.

Under our flexible vacation policy, you decide your vacation time needs based on personal circumstances. You are also granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence to support your physical, financial, and emotional well-being.

About EY

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. 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. Our teams work across assurance, consulting, tax, strategy, and transactions across more than 150 countries and territories.

For more information on careers, please visit ey.com/us/careers.