Data Engineer — AI-Driven Data Pipelines

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

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Hybrid work model

Job summary

EY is seeking a seasoned data engineering and AI leader to join our Products and Platforms Practice in the US. You will lead workstreams, engage regularly with clients, and drive scalable data solutions across complex pipelines in a hybrid work model.

You’ll collaborate with cross-functional teams including data scientists, engineers, and stakeholders to deliver reliable, high-impact platforms. Travel may be required based on client needs, and strong communication is essential.

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

Python

R

SQL

LLMs

Stakeholder management

Cross-functional collaboration

Communication

Problem solving

Education

Bachelor’s degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Analytics

Tools

Cloud platforms (AWS/Azure/GCP)

Job description

EY is seeking a seasoned data engineering and AI leader to join our Products and Platforms Practice in the US. You will lead workstreams, engage regularly with clients, and drive scalable data solutions across complex pipelines in a hybrid work model.

You’ll collaborate with cross-functional teams including data scientists, engineers, and stakeholders to deliver reliable, high-impact platforms. Travel may be required based on client needs, and strong communication is essential.