Senior Data Engineer - AI-Ready Data Pipelines

EY; Richmond (VA); On-site; 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 seeks a Data Engineer for the Advanced Forward Engineering team. You will join forward‑deployed pods to ensure data is accessible, governed, and production‑ready for AI deployments in regulated environments.

You will design end‑to‑end data pipelines, collaborate with delivery engineers, and translate complex data landscapes into compliant solutions. This role emphasizes data quality, interfaces, and production readiness across environments.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical field.
• 5+ years of data engineering, data integration, or analytics engineering 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 data owner within an AFE delivery pod, ensuring data readiness does not block 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 in regulated environments.
• Implement data interfaces and contracts that satisfy DS data requirements for deployed 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 learnings back to the AFE integration core to improve repeatability.
• Support validation, testing, and deployment activities to ensure data flows work across dev, test, pre-prod, prod environments.

Skills

Postgres

Oracle

Databricks

Snowflake

BigQuery

Redshift

Azure Data Factory

Kafka

Flink

Spark

Education

Bachelor's or Master's in CS

Job description

EY seeks a Data Engineer for the Advanced Forward Engineering team. You will join forward‑deployed pods to ensure data is accessible, governed, and production‑ready for AI deployments in regulated environments.

You will design end‑to‑end data pipelines, collaborate with delivery engineers, and translate complex data landscapes into compliant solutions. This role emphasizes data quality, interfaces, and production readiness across environments.