Data Engineer: AI Platforms & Scalable Pipelines (Hybrid)

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

Benefits offered by this job

Hybrid work model

Comprehensive benefits

Flexible vacation policy

Job summary

EY is seeking a data-driven leader to guide products and platforms using AI-centric approaches. You will work with engineers, data scientists, and designers to deliver scalable data solutions and trusted analytics for clients across industries.

The role emphasizes cross-functional collaboration, stakeholder management, and hands-on leadership in a hybrid work environment. Travel may be required based on client needs.

Qualifications

• Bachelor’s degree in a data-related field.
• Typically 4–6 years of relevant experience.
• Hands‑on experience developing scalable data solutions using Python, R, and SQL.
• Experience with data engineering, data pipelines, streaming architectures, and big data ecosystems.
• Knowledge of cloud computing architecture and data security.

Responsibilities

• Lead workstream delivery and ensure quality across processes.
• Engage with clients daily, participate in working sessions, identify opportunities for additional services.
• Implement resource plans and budgets while managing engagement economics.

Skills

Stakeholder collaboration

GenAI tooling

Cross-functional teamwork

Ambiguity management

End-to-end delivery

Communication

Project leadership

Problem solving

Education

Bachelor’s degree

Data Science / CS / Statistics related fields

Tools

Python

R

SQL

Cloud Computing

Data pipelines

Job description

EY is seeking a data-driven leader to guide products and platforms using AI-centric approaches. You will work with engineers, data scientists, and designers to deliver scalable data solutions and trusted analytics for clients across industries.

The role emphasizes cross-functional collaboration, stakeholder management, and hands-on leadership in a hybrid work environment. Travel may be required based on client needs.