Data Engineer for AI Platforms (Hybrid)

EY; Las Vegas (NV); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Paid time off options

Job summary

EY is seeking a seasoned data platform leader in the United States to guide product and platform outcomes for complex client engagements. You will collaborate with engineering, data science, design, and client teams to deliver scalable data solutions and AI-enabled platforms.

You’ll leverage Python, R, SQL and cloud architectures, manage multi-stakeholder projects, and mentor teams in a hybrid, client-facing environment with travel as needed.

Qualifications

• Bachelor’s degree required in Data Science, Machine Learning, Computer Science, 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.
• Cloud Computing Architecture, Data Architecture Design and Modelling, Data Integration, Data Security, Ontology Design, Software Engineering, Data Quality, Database Management, Semantic Layer.

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

Python

R

SQL

Data engineering

Data pipelines

Streaming architectures

Big data ecosystems

LLMs / GenAI tooling

Communication with stakeholders

Problem solving

Education

Bachelor’s degree in Data Science, Computer Science, or related

Tools

Cloud Computing Architecture

Data Architecture Design

Data Integration

Data Security

Ontology Design

Software Engineering

Data Quality

Database Management

Semantic Layer

Job description

EY is seeking a seasoned data platform leader in the United States to guide product and platform outcomes for complex client engagements. You will collaborate with engineering, data science, design, and client teams to deliver scalable data solutions and AI-enabled platforms.

You’ll leverage Python, R, SQL and cloud architectures, manage multi-stakeholder projects, and mentor teams in a hybrid, client-facing environment with travel as needed.