FY26 - Tax Technology and Transformation Finance Transformation - Data Engineer - Senior

US Tax National Tax Tax Technology & Transformation Finance Transformation Data Engineering - Senior

EYs Tax Technology teams mission is to develop implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EYs core Tax practice youll develop a deep tax technical knowledge and outstanding database data analytics and programming skills.

Ever-increasing regulations require tax departments to gather organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

EYs Tax Technology team members work side-by-side with the firms partners clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.

Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services Partnership Compliance Corporate Compliance Indirect Tax Services Human Capital and Internal Tax Services. Tax Technology provides solution architecture application development testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.

EY is currently seeking a Data Engineer - Senior to join our Tax Technology practice in US National Tax.

Your key responsibilities

• Lead the process of building and designing the data models that derived from multiple sources i.e. Manipulating data flat flies and raw information into cohesive data sets for our clients to easily use and incorporating the results into actionable insights
• Interface with other teams to extract load and transform data from wide variety of data sources using cloud-native data engineering principles
• Partner with Data Scientist and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the team
• Provide thought leadership and collaborate with other team members to continue to scale client architecture to evolve for the needs of tomorrow. Contribute to the establishment of best practices including code standard version control documentation testing and review process
• Understand the data needs of stakeholder teams in terms of key data models and reporting and translate that into technical requirements
• Influence the future roadmap of Product and GTM teams from a data systems perspective
• Serve as a subject matter expert in data engineering technologies and architectural design
• Participate in Agile development activities including sprints demos retrospectives and deployments
• Collaborate with application developers to deliver integrated data solutions across core systems
• Define data solutions for business problems by working directly with clients partners and internal stakeholders
• Communicate effectively with leadership to align on strategies and negotiate quality solutions
• Demonstrate strong organizational skills with the ability to prioritize multitask and deliver under tight deadlines

To qualify for the role you must have

• Bachelors or Masters degree in Computer Science Engineering or a related technical field
• 5 years of progressive experience in data engineering data modeling and building data and analytics products
• 5 years of experience with SQL ETL/ELT development and data warehousing concepts
• 5 years of Experience in developing data ingestion data processing and analytical pipelines for big data relational databases NoSQL and data warehouse solutions (i.e Databricks Snowflake Azure Data Factory)
• Demonstrated experience in Airflow Luigi or similar orchestration engines
• 5 years of experience working with public cloud platforms (Azure AWS or GCP)
• Proficiency in building data pipelines using Python PySpark or Scala
• Experience with orchestration tools such as Airflow or Luigi
• Advanced SQL skills with the ability to write complex queries across diverse data sources
• Solid understanding of database storage concepts including relational NoSQL and data lakes
• Experience with data governance tools and practices (e.g. Collibra Informatica Snowflake)
• 3 years of experience managing data governance functions such as metadata management and data quality
• Experience with data visualization tools (e.g. Power BI Tableau) is a plus
• Strong verbal and written communication skills; ability to work independently and collaboratively

What we look for

• Proven ability to navigate complex issues and make informed decisions
• Experience in supervising and guiding junior team members
• Demonstrated participation in sales opportunities and RFP responses
• Leadership experience with a focus on team development and mentorship.
• A passion for leveraging emerging technologies to address real-world problems.
• A commitment to creating an inclusive work environment that celebrates diversity.