Data Engineer for AI-Powered Platform Solutions

EY

Woodbridge Township (NJ)

Hybrid

USD 126,000 - 230,000

Full time

1 hour ago
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Benefits offered by this job

Hybrid work model
Total Rewards package
Vacation and leave policy

Job summary

EY is seeking a data-driven leader to guide product and platform initiatives, leveraging GenAI tooling and deep data engineering expertise. You will engage with clients daily, drive cross‑functional collaboration, and oversee budgeting and resource planning to deliver high-impact solutions.

The role offers a hybrid, client-facing environment with opportunities to shape the intelligent digital future across diverse teams and industries.

Qualifications

  • Bachelor’s degree required in Data Science, Machine Learning, CS, Statistics, Mathematics, Engineering, 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

Stakeholder management
GenAI tooling
Data engineering
Python
SQL
Cloud computing
Project leadership

Education

Bachelor's degree in data science / CS / related

Tools

Python
R
SQL
Cloud platforms (AWS/Azure)
ETL

Job description

EY is seeking a data-driven leader to guide product and platform initiatives, leveraging GenAI tooling and deep data engineering expertise. You will engage with clients daily, drive cross‑functional collaboration, and oversee budgeting and resource planning to deliver high-impact solutions.

The role offers a hybrid, client-facing environment with opportunities to shape the intelligent digital future across diverse teams and industries.

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