Job summary
Job post source
This job is directly from EY
Job overview
The Senior Data Engineer at EY's Tax Technology practice develops and manages data engineering solutions to support tax compliance and transformation, enhancing data accessibility and analytical capabilities for clients and internal teams.
Responsibilities and impact
The role involves designing data models, extracting and transforming data from various sources, collaborating with data scientists and stakeholders to build data infrastructure, leading best practices in code and documentation, participating in Agile development, and communicating with leadership to align strategies.
Experience and skills
Candidates need a Bachelor's or Master's in Computer Science or related fields, 5+ years in data engineering and data modeling, proficiency in SQL, ETL/ELT, cloud platforms like Azure or AWS, Python or PySpark, orchestration tools like Airflow, and experience with data governance and visualization tools is preferred.
Work environment and culture
EY promotes a globally connected, diverse team environment focused on career growth and building a better working world.
Company information
EY is a global professional services firm specializing in tax, consulting, and technology solutions, committed to innovation and client service excellence.
Team overview
The candidate will join EY's Tax Technology team working closely with partners, clients, and tax experts to develop technology solutions for tax services.
Job location and travel
The position is based in multiple US locations including New York, Hoboken, Iselin, Chicago, Atlanta, Dallas, and Houston.
Unique job features
The job offers the opportunity to work on cutting-edge tax technology solutions, integrating data engineering with tax compliance and transformation efforts in a leading global firm.
Company overview
EY, also known as Ernst & Young, is a global leader in professional services, offering assurance, tax, consulting, and advisory services to a wide range of industries. The company generates revenue through client fees for these services, leveraging its extensive expertise to help businesses navigate complex challenges and achieve growth. Founded in 1989 from a merger between Ernst & Whinney and Arthur Young & Co., EY has a rich history of innovation and leadership in the professional services sector. Notably, EY is committed to building a better working world by fostering sustainable growth and driving positive change.
How to land this job
Tailor your resume to emphasize your expertise in data engineering, particularly your experience with cloud-native data pipelines, SQL, ETL/ELT development, and data modeling as described in the EY Senior Data Engineer job description.
Highlight your proficiency with tools and technologies such as Databricks, Snowflake, Azure Data Factory, Airflow, Python, and PySpark, as well as your experience with data governance and orchestration engines, to align with EY’s technical requirements.
Apply through multiple channels including EY’s corporate career site and LinkedIn to maximize your application visibility and reach within EY’s recruitment process.
Connect with current EY Tax Technology team members or data engineering professionals on LinkedIn, using ice breakers like commenting on EY’s recent innovations in tax technology or asking about the team’s approach to integrating data solutions for tax compliance.
Optimize your resume for ATS by incorporating key phrases from the job description such as 'data engineering,' 'cloud-native data pipelines,' 'ETL/ELT,' 'data modeling,' 'Airflow,' and 'data governance' to improve keyword matching and resume screening.
Leverage Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application portals, and suggest relevant EY contacts on LinkedIn, allowing you to focus more on preparing for interviews and networking effectively.
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