Senior Data Engineer - AI-Ready, Regulated Deployments

EY; Cleveland (OH); Hybrid; USD 107,000 - 177,000; Full time

Job summary

EY is seeking a Data Engineer for the Advanced Forward Engineering team. You will own data readiness in forward-deployed pods, design ingestions, and ensure governance and security for AI deployments in regulated client environments.

You will collaborate with delivery engineers to integrate enterprise data with legacy systems and help deliver reliable, compliant data solutions in production. This role emphasizes data interfaces, schema integrity, and cross-team coordination.

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 DevOps Specification (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

Regulatory constraints

Distributed systems

Cloud/hybrid

Data integration

Data pipelines

Communication

Education

Bachelor’s or Master’s degree in Computer Science or related technical field

Tools

Databricks

SnowFlake

BigQuery

RedShift

Azure Data Factory

Kafka

Flink

Spark

Postgres

Oracle

Job description

EY is seeking a Data Engineer for the Advanced Forward Engineering team. You will own data readiness in forward-deployed pods, design ingestions, and ensure governance and security for AI deployments in regulated client environments.

You will collaborate with delivery engineers to integrate enterprise data with legacy systems and help deliver reliable, compliant data solutions in production. This role emphasizes data interfaces, schema integrity, and cross-team coordination.