Data Engineer — AI Platforms (Hybrid)

EY

Pittsburgh (Allegheny County)

Hybrid

USD 126,000 - 230,000

Full time

2 hours ago
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Job summary

EY is seeking a data-driven leader to pilot product and platform initiatives. You will guide workstreams, engage with clients daily, and shape solutions that deliver measurable value while managing ecosystem budgets and timelines.

You will collaborate across technical and business teams to turn complex requirements into scalable data-driven outcomes. The role emphasizes hands-on engineering, cloud-aware design, and a strong focus on delivering high-quality, auditable code and robust metrics.

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; data engineering and pipelines.

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

LLM tooling
Cross-functional
Ambiguity management
Client relationship
Problem solving
Communication
Project delivery
Hybrid collaboration
Commercial acumen

Education

Bachelor’s degree in Data Science or related

Tools

Python
R
SQL

Job description

EY is seeking a data-driven leader to pilot product and platform initiatives. You will guide workstreams, engage with clients daily, and shape solutions that deliver measurable value while managing ecosystem budgets and timelines.

You will collaborate across technical and business teams to turn complex requirements into scalable data-driven outcomes. The role emphasizes hands-on engineering, cloud-aware design, and a strong focus on delivering high-quality, auditable code and robust metrics.

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