Senior Data Engineer - AI-Driven Platforms

EY; Las Vegas (NV); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking a Senior Data Engineer to design, build, and operate scalable data architectures on‑premises or cloud. You will translate business requirements into technical specs and optimize data flows for advanced analytics platforms.

The role emphasizes experience with Python, R, SQL, and cloud data solutions, with collaboration across data scientists, engineers, and stakeholders in a global practice.

Qualifications

• Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.
• 2-4 years of 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

• Designing, building, and operating scalable data architecture (on‑premises or cloud).
• Analyzing business requirements and translating into technical specifications.
• Optimizing data flows for target data platform designs.

Skills

Python

SQL

R

Cloud computing

Data architecture

Data integration

Data security

Big data

Machine Learning

Cross-functional collaboration

Education

Bachelors degree

Tools

Python

R

SQL

Job description

EY is seeking a Senior Data Engineer to design, build, and operate scalable data architectures on‑premises or cloud. You will translate business requirements into technical specs and optimize data flows for advanced analytics platforms.

The role emphasizes experience with Python, R, SQL, and cloud data solutions, with collaboration across data scientists, engineers, and stakeholders in a global practice.