Data Engineer, AI Platforms (Hybrid)

EY; San Diego (CA); Hybrid; USD 151,000 - 262,000; Full time

Benefits offered by this job

Total Rewards package

Hybrid work model

Flexible vacation policy

Job summary

EY invites applications for a data and AI leadership role in the United States, with the flexibility to work anywhere in the country. The position focuses on leading product-driven, AI-centric platforms and driving value for clients through senior-level data engineering and analytics work.

You will guide cross-functional teams of engineers, data scientists, and designers, managing client relationships and delivering scalable data solutions in cloud environments.

Qualifications

• Bachelor’s degree required in Data Science, ML, CS, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related.
• 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 & Modelling
• Data Integration
• Data Security
• Ontology Design
• Software Engineering
• Data Quality
• Database Management
• Semantic Layer
• Building and Managing Relationships
• Client Trust & 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

Data pipelines

Cloud computing

Data analysis

Project management

Cross-functional collaboration

Education

Bachelor’s degree in Data Science, ML, CS, Statistics, Math, Engineering, Analytics, or related

Tools

Spark

Hadoop

Airflow

Docker

Job description

EY invites applications for a data and AI leadership role in the United States, with the flexibility to work anywhere in the country. The position focuses on leading product-driven, AI-centric platforms and driving value for clients through senior-level data engineering and analytics work.

You will guide cross-functional teams of engineers, data scientists, and designers, managing client relationships and delivering scalable data solutions in cloud environments.