Data Engineer — AI-Driven Platform Leader

EY; Nashville (TN); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total rewards package

Job summary

EY seeks a data/AI practitioner to lead product and platform initiatives in a hybrid client-facing role. You will guide cross‑functional teams across engineering, data science, and design to deliver impact for ambitious organizations.

You’ll bring 4–6 years of data, ML, and cloud experience, and demonstrate strong communication with stakeholders while shaping scalable data solutions and architectures.

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
• Building and Managing Relationships
• Client Trust and Value
• Communicating With Impact
• Hybrid Collaboration
• Commercial Acumen
• Leading Teams
• Managing Change

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

Stakeholder mgmt

Cross-functional collab

GenAI tooling

Solution design

Clear communication

Project leadership

Problem solving

Analytics

Education

Bachelor’s degree in Data Science, ML, CS, Stats, Math, Eng, Analytics

Tools

Python

R

SQL

Cloud platforms

Data pipelines

Job description

EY seeks a data/AI practitioner to lead product and platform initiatives in a hybrid client-facing role. You will guide cross‑functional teams across engineering, data science, and design to deliver impact for ambitious organizations.

You’ll bring 4–6 years of data, ML, and cloud experience, and demonstrate strong communication with stakeholders while shaping scalable data solutions and architectures.