Service Delivery Center, Senior Data Engineer
About The Position
EY’s Financial Services Organization (FSO) Service Delivery Centers provide project-based work and managed services to US-based financial services clients. The Senior Data Engineer will work with diverse teams to deliver AI and data services, solve complex problems, and provide client deliverables involving data and AI. The role includes developing customized software solutions using ETL, applying systems analysis to data movement and data quality, and collaborating with teams and internal clients. The position is based in Dallas or San Antonio and is expected to include at least 60% in-person engagement, subject to client and business requirements. Travel of up to 30% is required. The role calls for a proactive, adaptable professional who can analyze and manipulate data, generate client reports, articulate problems and proposed solutions, and contribute to high-quality project work. EY offers opportunities for professional growth, training, coaching, and skills development.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- At least 3 years of relevant experience in data engineering and cloud data platforms.
- Experience working with business, management, and technology concepts.
- Experience in computer software configuration and development using one or more ETL suites such as Informatica, Infosphere, Ab Initio, or SAP, and DBMS.
- Knowledge of data reporting solutions, including the ability to leverage pivoting data, graphs, and charts.
- Practical experience with databases such as SQL Server, MySQL, Access, Oracle, and DB2.
- Knowledge of SQL syntax.
- Good written and verbal communication skills.
- Willingness and ability to travel up to 30%.
- Ability to participate in at least 60% in-person engagement, subject to client and business requirements.
Nice To Haves
- Certification in a database management system, reporting or data visualization, or a programming or statistical language.
- Working knowledge of or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure.
- Experience with financial institutions.
Responsibilities
- Collaborate with diverse teams to deliver AI and data services.
- Mentor and coach team members with diverse skills and backgrounds.
- Foster an innovative, inclusive, and team-oriented work environment.
- Be accountable for team success and project components.
- Build strong relationships with internal clients.
- Code customized software solutions using ETL.
- Apply systems analysis techniques and procedures to data movement and data quality.
- Analyze or manipulate data and generate reports for clients.
- Clearly articulate problems and proposed solutions, adapting to changing requirements.
Benefits
- Medical and dental coverage.
- Pension and 401(k) plans.
- At least 15 days of vacation, ten observed holidays, and three paid personal days.
- Flexible vacation policy and additional paid time off options, including designated holidays, winter and summer breaks, personal/family care, and other leaves of absence.
- Programs and benefits supporting physical, financial, and social well-being.
- Opportunities to develop new skills and progress your career.
- Support and coaching from knowledgeable colleagues.
- Training and development prospects.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
