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About the Role

The Advanced Forward Engineering (AFE) team within EY's Office of the CTO is seeking a Data Engineer to join delivery pods. This role involves deploying AI-native systems into regulated client environments, ensuring data is accessible, governed, and production-ready for safe and reliable AI solution delivery. The AFE Data Engineer integrates enterprise AI systems with legacy data environments, translating ambiguous data landscapes into dependable, compliant solutions.

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).

Requirements

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.

Skills

Deep expertise with industry standard database and data management systems (Postgres, Oracle, Databricks, SnowFlake, BigQuery, RedShift, Azure Data Factory, Kafka, Flink, Spark).
Strong foundation in data engineering concepts applied to real production systems.
Capable of working effectively with imperfect, heterogeneous, and legacy data environments.
Experience in balancing delivery speed with data governance and compliance requirements.
Pragmatic problem-solver who can operate with ambiguity and incomplete information.
Clear communicator able to explain data constraints and tradeoffs to engineers and stakeholders.
Bias toward building durable, well-understood data interfaces rather than one-off solutions.
Curiosity and flexibility when working with evolving AI and data use cases.
Experience supporting AI, ML, or analytics-driven applications in production.
Familiarity with retrieval-based systems (e.g., search, embeddings, feature stores).
Exposure to regulated industry data environments (financial services, tax, healthcare).
Experience with hybrid or on-prem data integration scenarios.
Background in forward-deployed, consulting, or customer-facing engineering roles.

Location

Anywhere in Country

Work Type

Hybrid

Experience Level

5+ years of experience

Education Level

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

Salary/Compensations

US Base Salary Range: $106,900 - $176,500
New York City Metro Area, Washington State, and California (excluding Sacramento) Base Salary Range: $128,400 - $200,600

Benefits

Comprehensive compensation and benefits package
Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

About the Company

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Equal Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities.