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
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.
What we offer you
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $96,600 to $159,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $115,800 to $181,200. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
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EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .
