Senior Data Engineer: AI-Driven Data Platforms

Ernst & Young Oman; Westlake Village (CA); On-site; USD 134,000 - 201,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Senior Data Engineer to design and implement scalable data architectures and analytics solutions. You will collaborate with data scientists, engineers and stakeholders to ensure technical requirements align with business needs and deliver data assets across the lifecycle.

Ideal candidates will have hands-on Python, R and SQL experience, cloud and data security know-how, and a proactive approach to building reliable, observable code in a fast-paced client-driven environment.

Qualifications

• Bachelor’s degree required in a quantitative field.
• Typically 2–4 years of relevant experience.
• Hands-on experience developing scalable data solutions using Python, R and SQL.
• Experience with data pipelines, streaming architectures and big data ecosystems.
• Cloud computing and data architecture design.
• Data integration and data security.

Responsibilities

• Design, build and operate scalable data architectures on prem or in the cloud.
• Analyze business requirements and translate into technical specs.
• Optimize data flows for target data platform designs.

Skills

Python

R

SQL

Cloud computing

Data architecture

Data integration

Data security

Ontology design

Software engineering

Data quality

Database management

Semantic layer

Communication

Cross-functional collaboration

Complex problem-solving

Critical thinking

LLMs/GenAI tooling

Education

Bachelor's degree in Data Science / Machine Learning / CS / Statistics / Mathematics / Engineering / Analytics

Job description

EY is seeking a Senior Data Engineer to design and implement scalable data architectures and analytics solutions. You will collaborate with data scientists, engineers and stakeholders to ensure technical requirements align with business needs and deliver data assets across the lifecycle.

Ideal candidates will have hands-on Python, R and SQL experience, cloud and data security know-how, and a proactive approach to building reliable, observable code in a fast-paced client-driven environment.