Senior Data Engineer - AI-Driven Data Platforms

EY; Greenville (SC); On-site; USD 125,000 - 195,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Senior Data Engineer to design and build AI-enabled data solutions that translate complex data into actionable insights. You will collaborate with data professionals, management, and stakeholders to ensure alignment between technical deliverables and business needs.

The role emphasizes scalable data architecture, integration, and security across on-prem and cloud environments, with opportunities to travel to meet client needs.

Qualifications

• Bachelor’s degree required (4-year degree) in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Analytics, or related preferred.
• Typically, no less than 2-4 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
• Complex Problem‑Solving
• Critical Thinking

Responsibilities

• Design, build, and operate scalable data architectures on premises or in the cloud.
• Analyze business requirements and translate into technical specifications.
• Optimize data flows for target data platform designs.

Skills

Python

SQL

R

Cloud computing

Data architecture

Big data

GenAI tooling

Data integration

Security

Cross-functional collaboration

Education

Bachelor's degree in Data Science / CS / related

Tools

AWS

Azure

SQL tooling

ETL tooling

Job description

EY is seeking a Senior Data Engineer to design and build AI-enabled data solutions that translate complex data into actionable insights. You will collaborate with data professionals, management, and stakeholders to ensure alignment between technical deliverables and business needs.

The role emphasizes scalable data architecture, integration, and security across on-prem and cloud environments, with opportunities to travel to meet client needs.