Senior Data Engineer — AI-Driven Data Platforms

EY; San Jose (CA); On-site; USD 134,000 - 201,000; Full time

Job summary

EY in the United States is seeking a Senior Data Engineer to design, build, and optimize scalable data architectures across on‑prem and cloud environments. You will translate business needs into robust data models and ensure data flows are efficient and secure.

You will collaborate with data scientists, engineers, and stakeholders to deliver AI‑driven analytics solutions. The role emphasizes hands‑on implementation, cross‑functional teamwork, and comfort working with ambiguity while advancing

Qualifications

• Bachelor’s degree required in a quantitative field (4-year).
• Typically 2–4 years relevant experience.
• Hands-on experience developing scalable data solutions with Python, R and SQL.
• Experience with data engineering, pipelines, streaming architectures and big data ecosystems.

Responsibilities

• Designing, building, and operating scalable data architectures (on‑prem or cloud).
• Translating business requirements into technical specs and data models.
• Optimizing data flows for target data platform designs.

Skills

Cloud Architecture

Data Architecture

Data Integration

Data Security

Ontology Design

Software Engineering

Data Quality

Database Management

Semantic Layer

Cross-functional Work

Communication Skills

Hybrid Collaboration

Complex Problem-Solving

Critical Thinking

Education

Bachelor’s degree in Data Science / ML / CS / Statistics / Mathematics / Engineering

Tools

Python

R

SQL

Job description

EY in the United States is seeking a Senior Data Engineer to design, build, and optimize scalable data architectures across on‑prem and cloud environments. You will translate business needs into robust data models and ensure data flows are efficient and secure.

You will collaborate with data scientists, engineers, and stakeholders to deliver AI‑driven analytics solutions. The role emphasizes hands‑on implementation, cross‑functional teamwork, and comfort working with ambiguity while advancing