Data Engineer for AI-Driven Platform Solutions

EY; Grand Rapids (MI); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Flexible vacation policy

Paid time off options

Job summary

EY looks for a senior data and platform professional to lead product and data initiatives, engaging with clients and guiding cross-functional teams. You will oversee delivery, budgets, and engagement economics while applying AI-centric data solutions across the stack.

The role requires 4–6 years of experience, strong Python/R/SQL skills, cloud and data architecture expertise, and the ability to communicate complex concepts clearly to varied audiences. Hybrid work is available.

Qualifications

• Bachelor’s degree required in Data Science, ML, CS, Stats, Math, Engineering, Analytics, or related field.
• Typically, no less than 4–6 years relevant experience.
• Hands-on experience developing scalable data solutions using Python, R and SQL, with data engineering, pipelines, streaming architectures and big data ecosystems.
• Cloud computing architecture, data architecture design and modelling, data integration and data security.
• Ontology design, software engineering, data quality, database management, semantic layer, and building relationships.

Responsibilities

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients daily, participating in workshops, identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

Skills

LLMs tooling

Cross-functional teams

Ambiguity tolerance

Client relationship

Communication skills

Problem solving

Code quality

Analytics

Education

Bachelor’s degree in Data Science or related field

Tools

Python

R

SQL

Cloud platforms

Job description

EY looks for a senior data and platform professional to lead product and data initiatives, engaging with clients and guiding cross-functional teams. You will oversee delivery, budgets, and engagement economics while applying AI-centric data solutions across the stack.

The role requires 4–6 years of experience, strong Python/R/SQL skills, cloud and data architecture expertise, and the ability to communicate complex concepts clearly to varied audiences. Hybrid work is available.