Hybrid Data Engineer for AI‑Driven Platforms

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

Benefits offered by this job

Medical and dental coverage

Hybrid work model

401(k) and pension

Job summary

EY is a global leader in professional services, embracing a mission to shape the future with confidence. The Products and Platforms Practice uses a product‑driven, AI‑centric approach to empower clients and solve complex challenges with teams of product leaders, data scientists, designers and engineers.

This role focuses on delivering scalable data solutions, collaborating with clients and cross‑functional teams, and driving innovative outcomes in a dynamic environment with travel as needed.

Qualifications

• Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.
• Typically, no less than 4 - 6 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

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

Skills

Python

SQL

Data pipelines

Cloud computing

Cross-functional collaboration

Communication

Project management

Problem solving

Stakeholder management

Education

Bachelor’s degree in Data Science/ML/CS/Statistics/Math/Engineering/Analytics

Tools

R

Python

SQL

Job description

EY is a global leader in professional services, embracing a mission to shape the future with confidence. The Products and Platforms Practice uses a product‑driven, AI‑centric approach to empower clients and solve complex challenges with teams of product leaders, data scientists, designers and engineers.

This role focuses on delivering scalable data solutions, collaborating with clients and cross‑functional teams, and driving innovative outcomes in a dynamic environment with travel as needed.