Senior Data Engineer: AI-Ready Data Pipelines (Remote)

EY; Atlanta (GA); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) pension plans

Paid time off

Job summary

EY is seeking a Data Engineer to join the Advanced Forward Engineering (AFE) team in the Office of the CTO. The role embeds within forward-deployed pods to ensure data readiness and secure AI delivery in regulated environments.

You will design data pipelines, collaborate with engineers and clients, and uphold governance while delivering production-ready data capabilities for AI workflows.

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 DevOps Specification (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

Postgres

Oracle

Databricks

SnowFlake

BigQuery

RedShift

Azure Data Factory

Kafka

Flink

Spark

Education

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

Job description

EY is seeking a Data Engineer to join the Advanced Forward Engineering (AFE) team in the Office of the CTO. The role embeds within forward-deployed pods to ensure data readiness and secure AI delivery in regulated environments.

You will design data pipelines, collaborate with engineers and clients, and uphold governance while delivering production-ready data capabilities for AI workflows.