Hybrid Data Engineer for AI Platforms

EY; Charleston (WV); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package (medical, dental

Flexible vacation policy

Job summary

EY is seeking a senior-level data and AI-focused professional to lead multi-disciplinary teams delivering scalable data solutions for ambitious clients. You will interface with clients, guide engineering and analytics work, and shape platform outcomes across the engagement lifecycle.

The role emphasizes hands-on programming, data engineering, cloud architectures, and strong communication with stakeholders in a hybrid client-facing model.

Qualifications

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

Responsibilities

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

Skills

LLM tooling

Cross-functional collaboration

Communicating with impact

Project management

Data analytics

Education

Bachelor’s degree

Tools

Python

SQL

R

Cloud

Job description

EY is seeking a senior-level data and AI-focused professional to lead multi-disciplinary teams delivering scalable data solutions for ambitious clients. You will interface with clients, guide engineering and analytics work, and shape platform outcomes across the engagement lifecycle.

The role emphasizes hands-on programming, data engineering, cloud architectures, and strong communication with stakeholders in a hybrid client-facing model.