Senior Data Engineer - AI-Driven Data Platforms

EY; Secaucus (NJ); Remote; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and Dental

401(k)

Paid time off

Job summary

EY is seeking a Senior Data Engineer to design and build scalable data architectures and analytics solutions. You will collaborate with data scientists, engineers, and stakeholders to align technical requirements with business needs.

You will create data pipelines, model data assets, and ensure quality and security across cloud or on‑prem environments. This role involves complex problem solving and cross‑functional collaboration.

Qualifications

• Bachelor’s degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.
• 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

Responsibilities

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

Skills

Python

SQL

R

Cloud computing

Data architecture

Data integration

Data security

Software engineering

Data quality

Database management

Ontology design

Semantic layer

Communication

Hybrid collaboration

Complex problem solving

Education

Bachelor's degree (4-year) in a related field

Job description

EY is seeking a Senior Data Engineer to design and build scalable data architectures and analytics solutions. You will collaborate with data scientists, engineers, and stakeholders to align technical requirements with business needs.

You will create data pipelines, model data assets, and ensure quality and security across cloud or on‑prem environments. This role involves complex problem solving and cross‑functional collaboration.