Senior Data Engineer - AI-Ready Data Pipelines

EY; Stamford (CT); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical & dental coverage

Pension & 401(k)

Paid time off

Job summary

EY’s Office of the CTO seeks a Data Engineer to join the Advanced Forward Engineering team, embedded with client environments to deliver AI-enabled data solutions. You will own data readiness, design robust ingestion pipelines, ensure governance and compliance, and collaborate with delivery engineers to produce production-ready interfaces across regulated settings.

The role emphasizes forward deployment, partnership with software engineers, and a pragmatic approach to ambiguous data landscapes

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 DS data requirements for 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

Data governance

Education

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

Job description

EY’s Office of the CTO seeks a Data Engineer to join the Advanced Forward Engineering team, embedded with client environments to deliver AI-enabled data solutions. You will own data readiness, design robust ingestion pipelines, ensure governance and compliance, and collaborate with delivery engineers to produce production-ready interfaces across regulated settings.

The role emphasizes forward deployment, partnership with software engineers, and a pragmatic approach to ambiguous data landscapes