Senior Data Engineer — Scalable Data Pipelines & GenAI

Ernst & Young Oman; Jefferson City (MO); On-site; USD 107,000 - 201,000; Full time

Job summary

EY is seeking a Senior Data Engineer to transform data into actionable insights. You will design scalable architectures, collaborate with product and engineering teams, and ensure robust data quality and security across on-premises and cloud platforms.

The role emphasizes hands-on development with Python, SQL, and data pipelines, leveraging GenAI tooling and modern data architectures to support EY’s global clients.

Qualifications

• Bachelor’s degree in data science, computer science, engineering, math, or analytics.
• Typically 2–4 years of relevant experience.
• Hands-on experience with Python, SQL, and data pipelines, with big data ecosystems.
• Cloud computing architecture and data security fundamentals.
• Knowledge of data quality, integration, and semantic layers.

Responsibilities

• Design, build, and operate scalable data architectures (on-premises or cloud).
• Analyze business requirements and translate them into technical specs.
• Optimize data flows for target data platform designs.

Skills

Python

SQL

R

Data Engineering

Cloud Computing

GenAI tooling

Data Architecture

Data Security

Data Integration

Cross-functional collaboration

Education

Bachelor’s degree in Data Science, CS, or related

Tools

LLMs

APIs

Job description

EY is seeking a Senior Data Engineer to transform data into actionable insights. You will design scalable architectures, collaborate with product and engineering teams, and ensure robust data quality and security across on-premises and cloud platforms.

The role emphasizes hands-on development with Python, SQL, and data pipelines, leveraging GenAI tooling and modern data architectures to support EY’s global clients.