Forward-Deployed AI Data Engineer for Regulated Environments

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

Job summary

EY in our Office of the CTO seeks a Data Engineer to join the Advanced Forward Engineering (AFE) team. You’ll work embedded with strategic clients to ensure data is accessible, governed, and production-ready so AI solutions can be delivered safely in real-world environments.

In forward-deployed pods you’ll build robust data ingestion and transformation, enforce governance and security, and partner with software engineers to enable reliable AI workflows across diverse, regulated 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.
• Ideally, you'll also have (preferred): Experience supporting AI, ML, or analytics‑driven applications in production.
• Familiarity with retrieval‑based systems (e.g., search, embeddings, feature stores).
• Exposure to regulated industry data environments (financial services, tax, healthcare).
• Experience with hybrid or on‑prem data integration scenarios.
• Background in forward‑deployed, consulting, or customer‑facing 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

Postgres

Oracle

Databricks

Snowflake

BigQuery

Redshift

Azure Data Factory

Kafka

Flink

Spark

Education

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

Tools

PostgreSQL

Relational databases

Data warehouses

Data lakes

API data access

Job description

EY in our Office of the CTO seeks a Data Engineer to join the Advanced Forward Engineering (AFE) team. You’ll work embedded with strategic clients to ensure data is accessible, governed, and production-ready so AI solutions can be delivered safely in real-world environments.

In forward-deployed pods you’ll build robust data ingestion and transformation, enforce governance and security, and partner with software engineers to enable reliable AI workflows across diverse, regulated environments.