Forward-Deployed Data Engineer — AI in Regulated Apps

EY; Southfield (MI); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Total Rewards package

Paid time off

Job summary

EY is seeking a Data Engineer to join the Advanced Forward Engineering team. You’ll embed with client teams to ensure AI data is accessible, governed, and production‑ready in regulated environments. Work closely with delivery engineers to integrate enterprise data with legacy systems.

You’ll own data readiness, design robust ingestion pipelines, and enforce governance while balancing speed and compliance in hybrid or cloud environments. EY offers a hybrid work model and comprehensive rewards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 5+ years of 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 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 learnings to improve repeatability across pods.
• Support validation, testing, and deployment to ensure data flows across environments.

Skills

Data governance concepts

Data integration

Cloud data engineering

Regulatory compliance awareness

Communicating constraints

Durable data interfaces design

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 to join the Advanced Forward Engineering team. You’ll embed with client teams to ensure AI data is accessible, governed, and production‑ready in regulated environments. Work closely with delivery engineers to integrate enterprise data with legacy systems.

You’ll own data readiness, design robust ingestion pipelines, and enforce governance while balancing speed and compliance in hybrid or cloud environments. EY offers a hybrid work model and comprehensive rewards.