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Tax - Tax Technology and Transformation; TTT; Data Engineering - Intern - Summer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Ernst & Young
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 36 - 45 USD Hourly USD 36.00 45.00 HOUR
Job Description & How to Apply Below

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 work streams 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…
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