Data Engineer - AI Platform Builder

EY; Dallas (TX); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Total Rewards package

Hybrid work model

Paid time off

Job summary

EY is seeking an experienced data/AI leader to guide product and platform initiatives. You will work across cross-functional teams to deliver scalable data solutions, engage with clients daily, and manage budgets and resources to ensure successful engagements.

The role requires strong collaboration, hands-on technical execution, and the ability to translate complex data challenges into actionable solutions. Travel may be required based on client needs.

Qualifications

• Bachelor’s degree required in Data Science, ML, CS, 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, 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

Cloud computing

Data engineering

Data pipelines

Big data

Software engineering

Machine learning concepts

Education

Bachelor’s degree in Data Science / CS / Stats / Math etc.

Job description

EY is seeking an experienced data/AI leader to guide product and platform initiatives. You will work across cross-functional teams to deliver scalable data solutions, engage with clients daily, and manage budgets and resources to ensure successful engagements.

The role requires strong collaboration, hands-on technical execution, and the ability to translate complex data challenges into actionable solutions. Travel may be required based on client needs.