Data Platform Engineer: AI-Driven Pipelines

EY; Seattle (WA); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive benefits package

Paid time off

Job summary

EY is seeking a senior data professional to lead delivery of mission-critical data platforms and AI-enabled solutions for diverse client teams. You will collaborate with data scientists, engineers, and stakeholders to design scalable pipelines, ensure quality, and manage budgets across engagements.

Ideal candidates bring 4–6 years of experience, strong Python/SQL/R skills, and a background in data architecture, security, and cloud architecture.

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

R

Data engineering

Cloud computing

Data architecture

Data security

Ontology design

Software engineering

Data quality

Database management

Semantic layer

Leading teams

Change management

Education

Bachelor’s degree in Data Science or related field

Tools

LLMs

GenAI tooling

Job description

EY is seeking a senior data professional to lead delivery of mission-critical data platforms and AI-enabled solutions for diverse client teams. You will collaborate with data scientists, engineers, and stakeholders to design scalable pipelines, ensure quality, and manage budgets across engagements.

Ideal candidates bring 4–6 years of experience, strong Python/SQL/R skills, and a background in data architecture, security, and cloud architecture.