Senior Data Engineer for AI in Regulated Environments

EY; San Antonio (TX); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) and pension

Paid time off

Hybrid work model

Job summary

EY is seeking a Data Engineer to join the Advanced Forward Engineering (AFE) team within the Office of the CTO. You will operate in forward-deployed pods, ensuring data readiness and governance while enabling AI workflows with client and legacy systems.

Ideal candidates have 5+ years in data engineering, hands-on pipeline experience in cloud or hybrid environments, and strong collaboration with application engineers to deliver compliant, production-ready data solutions.

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.
• 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 back to the AFE core to improve repeatability across pods.
• Support validation, testing, and deployment activities to ensure data flows behave correctly across environments.

Skills

Data engineering concepts

Databases & data management

Data ingestion & pipelines

Governance & compliance

Communication

Cloud/hybrid environments

Education

Bachelor's or Master's in CS or related field

Tools

PostgreSQL

Oracle

Databricks

Snowflake

BigQuery

Kafka

Flink

Spark

Azure Data Factory

Job description

EY is seeking a Data Engineer to join the Advanced Forward Engineering (AFE) team within the Office of the CTO. You will operate in forward-deployed pods, ensuring data readiness and governance while enabling AI workflows with client and legacy systems.

Ideal candidates have 5+ years in data engineering, hands-on pipeline experience in cloud or hybrid environments, and strong collaboration with application engineers to deliver compliant, production-ready data solutions.