Senior Data Engineer, AI & Cloud Platforms

EY; Jacksonville (FL); Remote; USD 107,000 - 177,000; Full time

Job summary

EY is seeking a Senior Data Engineer to design and build scalable data architectures and analytics solutions. You will translate business needs into technical specifications and collaborate with data scientists, architects, and clients to deliver value.

You will work across on-premises and cloud environments, shaping data platforms for diverse engagements and ensuring data quality and security across the lifecycle.

Qualifications

• Bachelor’s degree in data science, CS, math, or related field.
• 2–4 years relevant experience.
• Hands-on experience with Python, R, SQL; data engineering and pipelines.
• 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

Responsibilities

• Designing, building, and operating scalable data architecture (on-premises or cloud).
• Analyzing requirements and translating into technical specs; optimizing data flows.

Skills

Python

R

SQL

Data pipelines

Streaming architectures

Cloud computing

Data architecture design

Data integration

Data security

Ontology design

Software engineering

Data quality

Database management

Semantic layer

Building relationships

Communicating with impact

Hybrid collaboration

Complex problem-solving

Education

Bachelor's degree in Data Science/CS/Math/Engineering

Job description

EY is seeking a Senior Data Engineer to design and build scalable data architectures and analytics solutions. You will translate business needs into technical specifications and collaborate with data scientists, architects, and clients to deliver value.

You will work across on-premises and cloud environments, shaping data platforms for diverse engagements and ensuring data quality and security across the lifecycle.