Senior Forward-Deployed Data Engineer for AI Pipelines

Ernst & Young Oman; Olympia (WA); Hybrid; USD 128,000 - 201,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

401(k) retirement plans

Paid time off

Job summary

EY in the United States is seeking a Data Engineer for the Advanced Forward Engineering (AFE) team. You will join forward-deployed pods to integrate AI systems with client and legacy data, ensuring data readiness and governance.

The role emphasizes production-ready data pipelines and collaboration with delivery engineers in regulated environments to deliver reliable, compliant AI solutions.

Qualifications

• Bachelor’s or Master’s degree in CS or related field.
• 5+ years of data engineering or analytics experience.
• 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 with Forward Deployed Software Engineer roles to enable AI workflows, retrieval, and analytics in production.
• Diagnose and resolve data quality, schema drift, and integration issues in real deployments.
• Contribute reusable data patterns and implementation learnings to the AFE integration core for repeatability.
• Support validation, testing, and deployment activities to ensure data flows operate across dev, test, pre-prod, prod.

Skills

Postgres

Oracle

Databricks

Snowflake

BigQuery

Redshift

Azure Data Factory

Kafka

Flink

Spark

Data governance

Education

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

Job description

EY in the United States is seeking a Data Engineer for the Advanced Forward Engineering (AFE) team. You will join forward-deployed pods to integrate AI systems with client and legacy data, ensuring data readiness and governance.

The role emphasizes production-ready data pipelines and collaboration with delivery engineers in regulated environments to deliver reliable, compliant AI solutions.