E

Ernst & Young

Global professional services: consulting, assurance, tax

Tax Technology and Transformation Data Engineering Intern - Multiple Teams

Data EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027$36.06 - $45.19 /hr

About the Job

Requirements

  • 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.
  • A cumulative college or university GPA of at least 3.0.
  • Working knowledge of SQL and data analysis concepts.
  • Knowledge of data extraction, transformation, and loading (ETL).
  • Knowledge of 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.
  • Interest in working in a team-led and leader-enabled hybrid model; most client-serving roles work together in person 40–60% of the time over an engagement, project, or year.
  • Reliable transportation to and from the EY office and client sites; a driver’s license is strongly recommended where rideshare and public transportation may not be available.
  • Ability and willingness to travel and work beyond standard hours when necessary; travel may extend beyond the assigned work location depending on client and project needs.
  • Residence within commuting distance of the office associated with the position.
  • Legal authorization to work in the United States without employer sponsorship, now and in the future.

Responsibilities

  • Document business requirements, data definitions, process flows, and technical specifications.
  • Support data collection, cleansing, validation, and transformation across multiple tax and finance data sources.
  • Work with structured and unstructured datasets to identify trends, data quality issues, risks, and opportunities.
  • Help design and implement data pipelines and automation solutions to improve operational efficiency.
  • Assist with data migration and integration involving ERP, finance, and tax systems.
  • Perform data profiling, reconciliation, and quality analysis to ensure completeness and accuracy.
  • Support AI and advanced analytics initiatives, including machine learning and generative AI use cases.
  • Assist in developing dashboards, reports, and visualizations with business intelligence tools to support decision-making.
  • Collaborate with tax professionals, data engineers, solution architects, and business stakeholders.
  • Research emerging Data & Analytics technologies and industry trends, including Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, and AI.
  • Prepare client-ready deliverables, presentations, and project documentation.
  • Take ownership of assigned workstreams and ensure timely completion of deliverables.

Desired Qualifications

  • A cumulative college or 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 on academic, internship, or research projects involving large datasets.
  • Knowledge of leveraging firm-approved AI tools in a business setting, including Microsoft Copilot.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

Recently Posted Jobs

Explore more opportunities at Ernst & Young

See more jobs