Forward-Deployed Data Engineer for AI Pipelines

EY; Pittsburgh (Allegheny County); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY in the United States seeks a Data Engineer to join the Advanced Forward Engineering team, embedding with client delivery pods. You will ensure data readiness, design ingestion and transformation patterns, and maintain governance and security in regulated environments.

You will collaborate with Forward Deployed Software Engineers to enable AI workflows, address data quality, and deliver repeatable data interfaces across deployments in production and test 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 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

Data integration

Analytics engineering

Cloud/hybrid environments

Relational databases

APIs

Collaboration

Regulatory constraints

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 in the United States seeks a Data Engineer to join the Advanced Forward Engineering team, embedding with client delivery pods. You will ensure data readiness, design ingestion and transformation patterns, and maintain governance and security in regulated environments.

You will collaborate with Forward Deployed Software Engineers to enable AI workflows, address data quality, and deliver repeatable data interfaces across deployments in production and test environments.