Senior Data Engineer — Build AI-Driven Data Platforms

Ernst & Young Oman; Washington (District of Columbia); On-site; USD 107,000 - 201,000; 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 in the US to design and build AI and analytics solutions that deliver significant business value. You will collaborate with data professionals, management, and stakeholders to ensure technical requirements align with business needs.

You will create scalable data architectures, model data assets, and lead data integration efforts while leveraging GenAI tooling and cloud platforms. Travel may be required with client engagements.

Qualifications

• Bachelor’s degree required in Data Science, ML, CS, Statistics, Mathematics, Engineering, Analytics, or related preferred.
• Typically, no less than 2–4 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 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 on‑premises or cloud data architecture.
• Analyzing business requirements and translating them into technical specifications.
• Optimizing data flows for target data platform designs.
• Ensuring data quality and security across the data lifecycle.

Skills

Python

R

SQL

Data engineering

Cloud computing

Education

Bachelor’s degree in Data Science or related

Tools

Cloud platforms

Job description

EY is seeking a Senior Data Engineer in the US to design and build AI and analytics solutions that deliver significant business value. You will collaborate with data professionals, management, and stakeholders to ensure technical requirements align with business needs.

You will create scalable data architectures, model data assets, and lead data integration efforts while leveraging GenAI tooling and cloud platforms. Travel may be required with client engagements.