Data Engineer – AI-Driven Platform Solutions

EY; Indianapolis (IN); Hybrid; USD 126,000 - 262,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY seeks a data and analytics leader to drive product-focused platforms. You will guide teams across data science, engineering, and clients, shaping scalable data solutions and enterprise-grade analytics.

With 4–6 years of relevant experience, you’ll deliver cross-functional projects, manage stakeholder expectations, and work in a hybrid EY environment that values collaboration and continuous learning.

Qualifications

• Bachelor’s degree or equivalent in a data-related field.
• 4–6 years of relevant experience minimum.
• Hands-on experience building scalable data solutions using Python, R, and SQL.
• Experience with data engineering, data pipelines, streaming architectures, and big data ecosystems.

Responsibilities

• Leading workstream delivery with emphasis on quality and client value.
• Engaging with clients daily and identifying opportunities for additional services.
• Managing resource plans and engagement economics while delivering projects.

Skills

Python

R

SQL

Data pipelines

Big data

Cloud computing

Data security

Data architecture

Data integration

Machine learning concepts

Stakeholder management

Communication

Team leadership

Hybrid collaboration

Commercial acumen

Leading teams

Managing change

Education

Bachelor’s degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related

Tools

LLMs

GenAI tooling

Job description

EY seeks a data and analytics leader to drive product-focused platforms. You will guide teams across data science, engineering, and clients, shaping scalable data solutions and enterprise-grade analytics.

With 4–6 years of relevant experience, you’ll deliver cross-functional projects, manage stakeholder expectations, and work in a hybrid EY environment that values collaboration and continuous learning.