Data Engineer: AI Pipelines & Client Impact (Hybrid)

EY; Denver (CO); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Job summary

EY is seeking a data, AI, and software leadership professional to guide product and platform delivery for complex client challenges. You will lead cross‑functional teams across engineering, data, and security, while engaging with clients daily to surface opportunities for additional services.

The role emphasizes hands‑on coding and building scalable data solutions using Python, R, and SQL within cloud architectures. Travel may be required; hybrid work model offered.

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

Stakeholder management

Cross-functional collaboration

GenAI tooling

Ambiguity handling

Project delivery

Communication

Client relationship

Education

Bachelor's degree in Data Science/CS

Tools

Python

R

SQL

Data pipelines

Cloud architecture

Data security

Software engineering

Job description

EY is seeking a data, AI, and software leadership professional to guide product and platform delivery for complex client challenges. You will lead cross‑functional teams across engineering, data, and security, while engaging with clients daily to surface opportunities for additional services.

The role emphasizes hands‑on coding and building scalable data solutions using Python, R, and SQL within cloud architectures. Travel may be required; hybrid work model offered.