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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** Costa Mesa, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Information Engineering, Data Governance, Python (Programming Language), Key Management, Operational Databases, Standard Sql, Software Engineering, Data Streaming, Workflow Management Systems, Large Language Models, Data Management, Cyber Warfare, Stream Processing, Data Pipelines
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-costa-mesa-ca-usa-58885337

## About the Role

(evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage) * Engineer integrations between data platforms and enterprise GRC workflows with observability and runbooks for production support * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal 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 for batch and/or stream processing and deploying solutions on cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and LLM-enabled applications a
data vector/hybrid retrieval) * Ability to travel 0-25% and willingness for potential immigration sponsorship Key requirements *

## Description

Experteer Overview In this role you build and operate governed data foundations powering cyber risk and AI-enabled security workflows. You design scalable data pipelines and models to support risk reporting, controls monitoring, and audit-ready evidence. You collaborate with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into guardrails. You will contribute to AI-enabled governance and risk initiatives in regulated environments, driving measurable impact. 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 and controls (KRI, issues, defects, audit evidence, policy exceptions) enabling self-service analytics and dashboards * Implement data quality, lineage, metadata, and access controls to support auditability and regulatory defensibility * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage) * Engineer integrations between data platforms and enterprise GRC workflows with observability and runbooks for production support * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal 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 for batch and/or stream processing and deploying solutions on cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and LLM-enabled applications (RAG, vector/hybrid retrieval) * Ability to travel 0-25% and willingness for potential immigration sponsorship Key requirements *


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