Data Engineer: AI Platforms & Client Impact

EY; Tucson (AZ); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a data and AI leader to drive product and platform outcomes for clients, leveraging a mix of data science, engineering, and cross-functional collaboration. The role emphasizes hands-on delivery, client engagement, and scalable data solutions.

The ideal candidate will have experience with Python, R, SQL, and cloud-based architectures, and will navigate ambiguity to deliver high-impact results in a hybrid work environment.

Qualifications

• Bachelor’s degree required in Data Science, ML, CS, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.
• Typically, no less than 4-6 years relevant experience.
• Hands-on experience developing scalable data solutions using Python, R, and SQL, with expertise in data engineering, data pipelines, streaming architectures, and big data ecosystems.

Responsibilities

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

Skills

GenAI tooling

Client engagement

Cross-functional teams

Ambiguity handling

End-to-end ownership

Problem solving

Communication

Project leadership

Education

Bachelor’s degree in Data Science, ML, CS, Statistics, Math, Engineering or related

Tools

Python

R

SQL

Data pipelines

Job description

EY is seeking a data and AI leader to drive product and platform outcomes for clients, leveraging a mix of data science, engineering, and cross-functional collaboration. The role emphasizes hands-on delivery, client engagement, and scalable data solutions.

The ideal candidate will have experience with Python, R, SQL, and cloud-based architectures, and will navigate ambiguity to deliver high-impact results in a hybrid work environment.