HDG #1061 - Tax Technology and Transformation Finance Transformation - Data Engineer - Senior

Location: New York, Hoboken, Iselin, Chicago, Atlanta, Dallas, Houston

 

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

EY’s Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll 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.

 

EY's Tax Technology team members work side-by-side with the firm's 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

• Bachelor’s or Master’s 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