Senior Data Engineer — AI Pipelines for Regulated Data

EY

New Orleans (LA)

Remote

USD 107,000 - 177,000

Full time

29 hours ago
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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 to join the Advanced Forward Engineering (AFE) team within the Office of the CTO. You’ll embed with client delivery pods to make AI deployments production‑ready while ensuring data is accessible, governed, and secure.

You’ll work with legacy data, design robust pipelines, and collaborate with forward‑deployed engineers to deliver reliable analytics in regulated environments. This role offers a hybrid/remote model in the US, competitive compensation, and a

Qualifications

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

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

PostgreSQL
Oracle
Databricks
Snowflake
BigQuery
Kafka
Flink
Spark
Azure Data Factory
Data governance

Education

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

Tools

PostgreSQL
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 (AFE) team within the Office of the CTO. You’ll embed with client delivery pods to make AI deployments production‑ready while ensuring data is accessible, governed, and secure.

You’ll work with legacy data, design robust pipelines, and collaborate with forward‑deployed engineers to deliver reliable analytics in regulated environments. This role offers a hybrid/remote model in the US, competitive compensation, and a

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