Data Engineer for AI-Driven Platforms & Pipelines

EY; Sacramento (CA); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package (medical/dental,

401(k)

Pension

Job summary

EY is seeking a data-focused product and platforms leader to drive mission-critical, intelligent platforms for world-class clients. You’ll guide cross-functional teams of engineers, data scientists, designers, and product managers to deliver scalable data solutions using Python, R, and SQL in a hybrid client-facing environment.

The role emphasizes collaboration with technical and business stakeholders, governance of budgets, and robust software engineering practices.

Qualifications

• Experience engaging with technical and business stakeholders.
• Hands-on experience developing scalable data solutions using Python, R, and SQL; data engineering, data pipelines and big data.

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 engagement

GenAI tooling experience

Cross-functional collaboration

Ambiguity management

End-to-end delivery

Observability and code quality

Clear communication

Project management

Client relationship management

Education

Bachelor’s degree in Data Science, ML, CS, Statistics, Mathematics, Engineering, Applied Math, Analytics or related

Tools

Python

R

SQL

Big data ecosystems

Job description

EY is seeking a data-focused product and platforms leader to drive mission-critical, intelligent platforms for world-class clients. You’ll guide cross-functional teams of engineers, data scientists, designers, and product managers to deliver scalable data solutions using Python, R, and SQL in a hybrid client-facing environment.

The role emphasizes collaboration with technical and business stakeholders, governance of budgets, and robust software engineering practices.