Senior Data Engineer: Build Scalable AI Data Pipelines

Ernst & Young Oman; San Francisco (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

Ernst & Young is seeking a Senior Data Engineer in the United States to transform data into actionable insights and to design scalable data architectures for on-premises and cloud environments.

You will analyze requirements, optimize data flows, and collaborate with cross-functional teams to deliver robust data platforms and secure data pipelines, leveraging modern tools and GenAI capabilities.

Qualifications

• Bachelor’s degree in Data Science, CS, Statistics, or related field.
• 2–4 years of relevant data engineering experience.
• Hands-on experience with Python, SQL, and R.
• Cloud computing and data architecture design knowledge.
• Experience with data quality and security.
• Experience with data pipelines and big data ecosystems.

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.

Skills

Data engineering

Cloud computing

Cross-functional teamwork

Critical thinking

Education

Bachelor’s degree in Data Science/CS/Stats/Engineering

Tools

Python

SQL

R

Cloud platforms

Job description

Ernst & Young is seeking a Senior Data Engineer in the United States to transform data into actionable insights and to design scalable data architectures for on-premises and cloud environments.

You will analyze requirements, optimize data flows, and collaborate with cross-functional teams to deliver robust data platforms and secure data pipelines, leveraging modern tools and GenAI capabilities.