Data Engineer — AI Platform & Data Pipelines (Hybrid)

EY; Hoboken (NJ); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Paid time off options

Job summary

EY in the United States is seeking a data/ML-focused leader to guide products and platforms projects with clients and cross-functional teams. You will drive delivery, ensure quality, and translate complex requirements into scalable technical solutions.

The role emphasizes hands-on leadership, collaboration across engineering, data science, and product domains, and navigating ambiguity to deliver measurable business value. EY offers hybrid work and a comprehensive rewards package.

Qualifications

• Bachelor’s degree in the listed fields or related preferred.
• Typically 4–6 years of relevant experience.
• Hands-on experience developing scalable data solutions using Python, R and SQL with data pipelines.
• Cloud computing architecture, data integration and data security are required.

Responsibilities

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

Skills

LLMs/GenAI tooling

Cross-functional teams

Problem solving

Analytical thinking

Communication skills

Project delivery

Client relationships

Education

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

Tools

Python

R

SQL

Cloud Computing

Job description

EY in the United States is seeking a data/ML-focused leader to guide products and platforms projects with clients and cross-functional teams. You will drive delivery, ensure quality, and translate complex requirements into scalable technical solutions.

The role emphasizes hands-on leadership, collaboration across engineering, data science, and product domains, and navigating ambiguity to deliver measurable business value. EY offers hybrid work and a comprehensive rewards package.