Senior Data Engineer, AI Pipelines for Regulated Data

EY; Washington (District of Columbia); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Hybrid work model

Flexible vacation policy

Job summary

EY is hiring a Data Engineer for its Advanced Forward Engineering (AFE) team. The role embeds within forward-deployed pods to ensure data is accessible, governed, and production-ready for AI-enabled workflows in regulated environments.

You will design ingestion pipelines, enforce governance, and collaborate with delivery engineers to translate complex data landscapes into dependable, compliant solutions across client 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 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 governance

Cloud data pipelines

Regulated environments

Data interfaces

Communication

Ambiguity management

Delivery-focused teamwork

Education

Bachelor's or Master's in Computer Science or related field

Tools

PostgreSQL

Oracle

Databricks

Snowflake

BigQuery

Redshift

Azure Data Factory

Kafka

Flink

Spark

Job description

EY is hiring a Data Engineer for its Advanced Forward Engineering (AFE) team. The role embeds within forward-deployed pods to ensure data is accessible, governed, and production-ready for AI-enabled workflows in regulated environments.

You will design ingestion pipelines, enforce governance, and collaborate with delivery engineers to translate complex data landscapes into dependable, compliant solutions across client environments.