Senior Data Engineer — AI & Data Platforms

EY; Columbus (OH); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

401(k) plan

Paid time off

Job summary

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

Expect travel to meet with clients as needed. Responsibilities include building scalable data pipelines, integrating data sources, and ensuring secure, compliant data flows across platforms.

Qualifications

• Bachelor’s degree required (4-year degree) 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.

Responsibilities

• Designing, building, and operating scalable data architectures (on-premises or cloud).
• Analyzing business requirements and translating them into technical specs.
• Optimizing data flows for target data platform designs.

Skills

Python

R

SQL

Data engineering

Education

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

Tools

Cloud platforms

Job description

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

Expect travel to meet with clients as needed. Responsibilities include building scalable data pipelines, integrating data sources, and ensuring secure, compliant data flows across platforms.