Data Engineer - Hybrid, AI‑Driven Platforms

EY; Tallahassee (FL); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Hybrid work model

Job summary

EY is seeking a data-focused leader to drive product and platform initiatives in a hybrid environment. You will collaborate with clients, guide cross-functional teams, and leverage GenAI tools to deliver scalable data solutions across complex architectures.

The role emphasizes hands-on data engineering, cloud awareness, and strong communication with technical and executive stakeholders, within a flexible, inclusive culture.

Qualifications

• Bachelor’s degree in a data-related field is required or preferred.
• Typically 4–6 years of relevant experience.
• Hands-on experience developing scalable data solutions using Python, R, and SQL, incl. data engineering, pipelines, streaming architectures, and big data ecosystems.

Responsibilities

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients daily, participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

Skills

LLM tooling

Cross-functional

Ambiguity tolerance

End-to-end delivery

Education

Bachelor’s degree in a related field

Tools

Python

R

SQL

Cloud platforms

Job description

EY is seeking a data-focused leader to drive product and platform initiatives in a hybrid environment. You will collaborate with clients, guide cross-functional teams, and leverage GenAI tools to deliver scalable data solutions across complex architectures.

The role emphasizes hands-on data engineering, cloud awareness, and strong communication with technical and executive stakeholders, within a flexible, inclusive culture.