Senior Data Engineer — AI-Driven Analytics Platform Lead

Ernst & Young Advisory Services Sdn Bhd; New York (NY); On-site; USD 128,000 - 193,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking a Senior Data Engineer in New York to design and implement scalable data architectures, on-prem and in the cloud. You will translate business needs into robust data solutions, collaborate with data scientists and engineers, and optimize data flows for modern analytics platforms.

You will work with cross-functional teams, apply GenAI tooling, and ensure production-ready code with strong data quality and security practices. Travel may be required.

Qualifications

• Bachelor’s degree in a relevant field.
• Typically 2–4 years of experience in data engineering or analytics.
• Hands-on with Python, SQL, and R; experience with data pipelines and big data ecosystems.

Responsibilities

• Designing and building scalable data architectures (on-prem/cloud).
• Translating business requirements into technical specs.
• Optimizing data flows for target platforms.

Skills

LLMs

GenAI tooling

Stakeholder comms

Cross-functional

Ambiguity management

Production handoff

Code quality

Analytical thinking

Education

Bachelor’s degree (4-year) in Data Science/CS/Math

Tools

Python

SQL

R

Cloud platforms

Job description

EY is seeking a Senior Data Engineer in New York to design and implement scalable data architectures, on-prem and in the cloud. You will translate business needs into robust data solutions, collaborate with data scientists and engineers, and optimize data flows for modern analytics platforms.

You will work with cross-functional teams, apply GenAI tooling, and ensure production-ready code with strong data quality and security practices. Travel may be required.