Data Engineer for AI-Driven Platform Teams (Hybrid)

EY; Oklahoma City (OK); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY invites experienced data leaders to shape intelligent platforms for global clients. You will drive end-to-end delivery of data products, mentor teams, and collaborate with stakeholders across business and technology domains.

Expect hybrid work, travel as needed, and a focus on scalable architectures, data quality, and secure data pipelines that deliver measurable impact for EY clients.

Qualifications

• Bachelor’s degree required in Data Science, ML, CS, Statistics, Math, Engineering, Analytics, or related field.
• Typically 4–6 years of relevant experience in data roles.
• Hands-on experience building scalable data solutions with Python, R, and SQL.
• Cloud Computing Architecture knowledge and data platform design.
• Data integration, security, and governance awareness.
• Experience leading teams and delivering client projects.

Responsibilities

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients daily, identifying opportunities for services.
• Implementing resource plans and budgets while managing engagement economics.

Skills

Stakeholder management

GenAI tooling

Cross-functional teamwork

Ambiguity management

Problem ownership

Bias checks

Tested, production-grade code

Analytical skills

Clear communication

Project delivery

Education

Bachelor’s degree

Tools

Python

R

SQL

Job description

EY invites experienced data leaders to shape intelligent platforms for global clients. You will drive end-to-end delivery of data products, mentor teams, and collaborate with stakeholders across business and technology domains.

Expect hybrid work, travel as needed, and a focus on scalable architectures, data quality, and secure data pipelines that deliver measurable impact for EY clients.