Senior Data Engineer: AI Pipelines for Regulated Systems

EY; Philadelphia (Philadelphia 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 is seeking a Data Engineer within the Advanced Forward Engineering team to embed with client environments and deliver AI-enabled data solutions. You will own data readiness, design robust ingestion pipelines, and ensure governance across regulated deployments in a hybrid delivery model.

The role emphasizes collaboration with software engineers and stakeholders to translate complex data landscapes into reliable, compliant data interfaces for enterprise AI use cases.

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.
• Ideally, you'll also have experience supporting AI, ML or analytics-driven apps in production.
• Familiarity with retrieval-based systems (search, embeddings, feature stores).
• Exposure to regulated industry data environments (financial services, tax, healthcare).

Responsibilities

• Serve as the data owner within an AFE delivery pod, ensuring data readiness.
• Design and implement data ingestion, transformation, and access patterns for AI systems.
• Ensure data pipelines comply with governance, security, lineage, and access control.
• Implement data interfaces and contracts for DS data requirements for deployment templates.
• Partner with Forward Deployed Software Engineers to enable AI workflows in production.
• Diagnose and resolve data quality, schema drift, and integration issues in deployment.
• Contribute reusable data patterns back to the AFE integration core.
• Support validation, testing, and deployment activities across environments.

Skills

Data engineering concepts

Data governance

Communication skills

Data integration

Education

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

Tools

Postgres

Oracle

Databricks

Snowflake

BigQuery

Redshift

Azure Data Factory

Kafka

Flink

Spark

Job description

EY is seeking a Data Engineer within the Advanced Forward Engineering team to embed with client environments and deliver AI-enabled data solutions. You will own data readiness, design robust ingestion pipelines, and ensure governance across regulated deployments in a hybrid delivery model.

The role emphasizes collaboration with software engineers and stakeholders to translate complex data landscapes into reliable, compliant data interfaces for enterprise AI use cases.