Senior Data Engineer — AI‑Driven Data Platforms

EY; Toledo (OH); On-site; USD 107,000 - 193,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is hiring a Senior Data Engineer to design and build AI and analytics solutions that deliver business value. You will collaborate with data professionals and stakeholders to align technical requirements with business needs, creating scalable data architectures and governance across the data lifecycle.

Expect work with on‑premise or cloud platforms, traveling to meet clients as needed. Strong Python/SQL skills and cloud experience are required for success.

Qualifications

• Bachelor’s degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, 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.
• Cloud Computing Architecture
• Data Architecture Design and Modelling
• Data Integration
• Data Security

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

Python

SQL

Data engineering

Cloud computing

GenAI tooling

Communication

Education

Bachelor’s degree in Data Science/CS

4-year degree

Tools

Big data ecosystems

Streaming architectures

Job description

EY is hiring a Senior Data Engineer to design and build AI and analytics solutions that deliver business value. You will collaborate with data professionals and stakeholders to align technical requirements with business needs, creating scalable data architectures and governance across the data lifecycle.

Expect work with on‑premise or cloud platforms, traveling to meet clients as needed. Strong Python/SQL skills and cloud experience are required for success.