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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Cyber Security, Information Engineering, Data Governance, Python (Programming Language), Metadata, Operational Databases, Standard Sql, Runbook, Software Engineering, Data Streaming, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Data Management, Cyber Warfare, Data Pipelines
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-los-angeles-ca-usa-58885346

## About the Role

audit summarization, control testing assist, policy Q&A, investigations copilots) * Engineer integrations between data platforms, governance/workflows, and enterprise systems with observability and runbooks * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor in any field or equivalent practical experience * 4+ years data engineering and software development with Python and SQL * Experience building production data pipelines and data models (batch/stream) and deploying on the cloud with containers, IaC, APIs, and secret management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) including LLM-enabled applications using retrieval-augmented generation and secure access patterns * Ability
to travel 0-25% and potential immigration sponsorship * Experience with consulting/Big 4 environment (preferred) Key requirements *

## Description

Experteer Overview In this role you design and operate governed data foundations for cyber risk, compliance evidence, and AI-enabled security workflows. You'll build scalable data pipelines and models to support risk reporting, controls monitoring, and audit-ready evidence, with strong governance, lineage, and privacy-by-design. You'll bridge data engineering with GRC expectations in regulated enterprise settings. This is a chance to shape data platforms and AI-assisted security operations for resilient, compliant cyber programs. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed stores * Design data models for risk, controls, and audit evidence enabling self-service analytics and dashboards * Implement data quality, lineage, metadata, and access controls for auditability and defensible evidence * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigations copilots) * Engineer integrations between data platforms, governance/workflows, and enterprise systems with observability and runbooks * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor in any field or equivalent practical experience * 4+ years data engineering and software development with Python and SQL * Experience building production data pipelines and data models (batch/stream) and deploying on the cloud with containers, IaC, APIs, and secret management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) including LLM-enabled applications using retrieval-augmented generation and secure access patterns * Ability to travel 0-25% and potential immigration sponsorship * Experience with consulting/Big 4 environment (preferred) Key requirements *


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