Forward-Deployed Data Engineer for AI Pipelines

EY; Grand Rapids (MI); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Total Rewards package

Hybrid work model

Flexible vacation policy

Job summary

EY's Office of the CTO invites a Data Engineer to join the Advanced Forward Engineering (AFE) team, embedded with clients to ensure data is accessible, governed, and production-ready for AI-enabled solutions in regulated environments. You will own data readiness in pod deliveries, design ingestion and transformation patterns, and work with engineers to deliver compliant, production-grade AI deployments.

This role blends data engineering with delivery and regulatory constraints in a hybrid

Qualifications

• Bachelor's or Master's degree in Computer Science or related technical field.
• 5+ years of experience in data engineering, data integration, or analytics engineering roles.
• Hands-on experience building and operating data pipelines in cloud or hybrid environments.
• Experience integrating with relational databases, data warehouses, data lakes, or enterprise systems.
• Familiarity with data modeling, transformation frameworks, and API-based data access.
• Experience working under data governance, security, or compliance constraints.
• Ability to collaborate closely with application engineers and operate in delivery-focused teams.

Responsibilities

• Serve as the data owner within an AFE delivery pod, ensuring data readiness does not block or delay delivery outcomes.
• Design and implement data ingestion, transformation, and access patterns that integrate AI systems with client and legacy data sources.
• Ensure data pipelines comply with governance, security, lineage, and access control requirements mandated by regulated environments.
• Implement data interfaces and contracts that satisfy DS data requirements for supported deployment templates.
• Partner closely with Forward Deployed Software Engineer roles to enable AI workflows, retrieval, and analytics that are reliable in production.
• Diagnose and resolve data quality, schema drift, and integration issues encountered in real deployment scenarios.
• Contribute reusable data patterns and implementation learnings back to the AFE integration core to improve repeatability across pods.
• Support validation, testing, and deployment activities to ensure data flows behave correctly and consistently across environments (dev, test, pre-prod, prod).

Skills

Data engineering concepts

Cloud data pipelines

Collaboration with engineers

Data governance awareness

Effective communication

Education

Bachelor's or Master's in CS

Tools

Postgres

Oracle

Databricks

Snowflake

BigQuery

Redshift

Azure Data Factory

Kafka

Flink

Spark

Job description

EY's Office of the CTO invites a Data Engineer to join the Advanced Forward Engineering (AFE) team, embedded with clients to ensure data is accessible, governed, and production-ready for AI-enabled solutions in regulated environments. You will own data readiness in pod deliveries, design ingestion and transformation patterns, and work with engineers to deliver compliant, production-grade AI deployments.

This role blends data engineering with delivery and regulatory constraints in a hybrid