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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** Princeton, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Information Engineering, Data Governance, Data Infrastructure, Data Stores, Python (Programming Language), Key Management, Metadata, Operational Databases, Standard Sql, Software Engineering, Data Classification, Retrieval-Augmented Generation, Data Management, Cyber Warfare, Stream Processing
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-princeton-nj-usa-58885358

## About the Role

blends risk, and compliance and cyber operations via agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks for production support * Partner with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and guardrails Tasks * Bachelor's degree or equivalent practical experience * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch or stream processing with cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including data classification, privacy handling, least-privilege access, encryption, retention, audit logging, and lineage/metadata * Experience supporting GRC workflows and large language model-enabled applications using retrieval-augmented generation and
related techniques * Ability to travel 0-25%; immigration sponsorship may be available Key requirements *

## Description

Experteer Overview As a Data Engineer on Deloitte's Cyber team, you build governed data foundations for cyber risk, compliance evidence, and AI-enabled workflows. You will design production-grade pipelines and data models to support risk reporting, controls monitoring, and self-service analytics. The role blends data engineering with governance and compliance expectations in regulated environments. You will join a team focused on secure, auditable data platforms and agentic AI capabilities that enhance cyber operations. Compensation / Benefits * Build scalable batch and stream processing pipelines ingesting security telemetry and compliance artifacts into governed data stores * Design data models for risk and controls domains, including indicators, issues, risk acceptance, audit evidence, and policy exceptions * Implement data quality, lineage, metadata, and access controls to support auditability and repeatable evidence generation * Develop AI-enabled capabilities to accelerate governance, risk, and compliance and cyber operations via agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks for production support * Partner with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and guardrails Tasks * Bachelor's degree or equivalent practical experience * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch or stream processing with cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including data classification, privacy handling, least-privilege access, encryption, retention, audit logging, and lineage/metadata * Experience supporting GRC workflows and large language model-enabled applications using retrieval-augmented generation and related techniques * Ability to travel 0-25%; immigration sponsorship may be available Key requirements *


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