Forward‑Deployed Data Engineer for AI in Regulated Environments

Ernst & Young Oman; Miami (FL); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Generous paid time off

Job summary

EY seeks a Data Engineer to join the Advanced Forward Engineering (AFE) team, embedding with client environments to ensure data is accessible, governed, and production-ready for AI deployments.

The role focuses on data ingestion, transformation, and interfaces within forward-deployed pods, collaborating with delivery engineers to meet regulatory constraints and deliver reliable AI workflows.

Qualifications

• 5+ years of experience in data engineering, data integration, or analytics engineering roles.

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

Regulatory compliance

Data governance

Cloud data pipelines

Communication

Education

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

Tools

Postgres

Oracle

Databricks

Snowflake

BigQuery

Azure Data Factory

Kafka

Flink

Spark

Job description

EY seeks a Data Engineer to join the Advanced Forward Engineering (AFE) team, embedding with client environments to ensure data is accessible, governed, and production-ready for AI deployments.

The role focuses on data ingestion, transformation, and interfaces within forward-deployed pods, collaborating with delivery engineers to meet regulatory constraints and deliver reliable AI workflows.