Senior Data Engineer | AI‑Driven Data Platforms

EY; Rogers (AR); 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 to design, build, and operate scalable data architectures across on‑premises or cloud environments. You will translate business requirements into technical specs, optimize data flows, and support data platform design with a focus on reliability and security.

You will collaborate with data scientists, engineers and stakeholders, applying GenAI tooling where appropriate, while advancing best practices in data quality and governance.

Qualifications

• Bachelor’s degree in a quantitative field; typically 2–4 years of experience.
• Hands-on experience with Python, R and SQL for scalable data solutions.
• Experience building data pipelines, streaming architectures and big data ecosystems.

Responsibilities

• Design, build and operate scalable on-premises or cloud data architectures.
• Analyze requirements and translate into technical specifications.
• Optimize data flows for target data platform design and production handoff.

Skills

Python

R

SQL

Cloud computing

Data architecture

Data integration

Data security

Software engineering

Education

Bachelor's degree

Tools

Big data ecosystems

Streaming architectures

Job description

EY is seeking a Senior Data Engineer to design, build, and operate scalable data architectures across on‑premises or cloud environments. You will translate business requirements into technical specs, optimize data flows, and support data platform design with a focus on reliability and security.

You will collaborate with data scientists, engineers and stakeholders, applying GenAI tooling where appropriate, while advancing best practices in data quality and governance.