Data Engineer — AI-Powered Platforms & Cross‑Team Impact

EY; Kansas City (MO); Hybrid; USD 125,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Paid time off options

Job summary

EY is hiring for a senior data and platform role in the United States. The candidate will lead workstreams, engage with clients daily, and manage resources and budgets to deliver scalable data solutions across hybrid engagements.

The role emphasizes collaboration across technical and business stakeholders, experience with GenAI tooling, and delivering high-impact data platforms with strong client relationships. Travel may be required to meet client needs.

Qualifications

• Bachelor’s degree in Data Science, ML, CS, Statistics, Math, 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

Cross-functional collaboration

Project management

Data engineering

Cloud computing

Communication

Education

Bachelor’s degree

Job description

EY is hiring for a senior data and platform role in the United States. The candidate will lead workstreams, engage with clients daily, and manage resources and budgets to deliver scalable data solutions across hybrid engagements.

The role emphasizes collaboration across technical and business stakeholders, experience with GenAI tooling, and delivering high-impact data platforms with strong client relationships. Travel may be required to meet client needs.