Data Engineer – Hybrid, Shaping GenAI Platforms

EY; Arlington (VA); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Flexible vacation policy

Total Rewards package

Job summary

EY is seeking a data-driven leader to shape and deliver product platforms in a client-focused, hybrid environment. You will guide cross-functional teams, work directly with clients, and drive end-to-end data solutions with modern cloud architectures.

This role emphasizes strong communication, leadership, and hands-on coding across Python, SQL, and data pipelines to build scalable platforms and trusted client relationships.

Qualifications

• Bachelor’s degree in Data Science, ML, CS, or related field.
• Typically 4–6 years of relevant experience.
• Hands-on experience building scalable data solutions.
• Experience with Python, SQL, data pipelines, and cloud environments.

Responsibilities

• Lead workstreams and ensure timely, high-quality delivery.
• Engage with clients daily and identify opportunities for additional services.
• Manage engagement budgets and client economics.

Skills

GenAI tooling

Stakeholder management

Project delivery

Data analysis

Communication skills

Client relationship

Leadership

Education

Bachelor’s degree in relevant field

Tools

Python

SQL

Cloud architecture

Data pipelines

Job description

EY is seeking a data-driven leader to shape and deliver product platforms in a client-focused, hybrid environment. You will guide cross-functional teams, work directly with clients, and drive end-to-end data solutions with modern cloud architectures.

This role emphasizes strong communication, leadership, and hands-on coding across Python, SQL, and data pipelines to build scalable platforms and trusted client relationships.