Forward‑Deployed Data Engineer for AI in Regulated Apps

EY; Fort Worth (TX); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Paid time off options

Hybrid work model

Job summary

EY’s Office of the CTO invokes an Advanced Forward Engineering (AFE) team of Forward Deployed Engineers embedded with strategic clients to ensure high‑quality data delivery for AI systems. We seek a Data Engineer to join AFE pods, making data accessible, governed, and production‑ready for real‑world deployments in regulated environments.

You will own data readiness, design robust ingestion pipelines, and collaborate closely with client stakeholders to translate diverse data landscapes into

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

Data governance & security

SQL & data modeling

Legacy data integration

Cloud/hybrid data environments

Education

Bachelor’s or Master’s degree in CS or related field

Tools

Postgres

Oracle

Databricks

Snowflake

BigQuery

Redshift

Azure Data Factory

Kafka

Flink

Spark

Job description

EY’s Office of the CTO invokes an Advanced Forward Engineering (AFE) team of Forward Deployed Engineers embedded with strategic clients to ensure high‑quality data delivery for AI systems. We seek a Data Engineer to join AFE pods, making data accessible, governed, and production‑ready for real‑world deployments in regulated environments.

You will own data readiness, design robust ingestion pipelines, and collaborate closely with client stakeholders to translate diverse data landscapes into