Forward-Deployed Data Engineer for AI in Regulated Environments

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

Job summary

EY is seeking a Data Engineer for the Office of the CTO's Advanced Forward Engineering team. You will join forward-deployed pods to ensure data is ready, secure, and production-ready for AI solutions in regulated environments.

Responsibilities include designing ingestion pipelines, enforcing data governance, and collaborating with engineers to deliver reliable AI workflows across client environments.

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 deployment templates.
• Partner closely with Forward Deployed Software Engineer roles to enable AI workflows, retrieval, and analytics.
• Diagnose and resolve data quality, schema drift, and integration issues in production.
• Contribute reusable data patterns back to the AFE integration core to improve repeatability.
• Support validation, testing, and deployment activities to ensure data flows across dev, test, pre-prod, prod.

Skills

PostgreSQL

Oracle

Databricks

Snowflake

BigQuery

Redshift

Azure Data Factory

Kafka

Flink

Spark

Data governance

Cloud data pipelines

Education

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

Tools

SQL

Python

ETL

Data modeling

Job description

EY is seeking a Data Engineer for the Office of the CTO's Advanced Forward Engineering team. You will join forward-deployed pods to ensure data is ready, secure, and production-ready for AI solutions in regulated environments.

Responsibilities include designing ingestion pipelines, enforcing data governance, and collaborating with engineers to deliver reliable AI workflows across client environments.