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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Validation, Information Engineering, Data Governance, Data Stores, Python (Programming Language), Operational Databases, Cloud Services, Standard Sql, Runbook, Software Engineering, Large Language Models, Data Analytics, 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-mclean-va-usa-58885344

## About the Role

policy * Implement data quality checks, lineage, metadata, and access controls to support auditability and repeatable evidence generation * Develop AI-enabled capabilities to accelerate governance, risk, compliance, and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage) * Engineer integrations between data platforms, governance workflows, and enterprise systems using APIs, event patterns, and connectors with observability and runbooks * Collaborate 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 in data engineering and software development using Python and SQL * Experience building production data pipelines for batch/stream processing and cloud deployments * Experience implementing data governance controls (classification, PII handling, encryption, retention, audits, lineage/metadata) * Experience
supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, governance tool integrations, LLM-enabled apps) * Ability to travel 0-25% and willingness for sponsorship considerations in some cases Key requirements *

## Description

Experteer Overview As a Data Engineer in Deloitte's Cyber team, you design and operate governed data foundations powering cyber risk, compliance evidence, and AI-enabled workflows. You build scalable data pipelines and models to support risk reporting, controls monitoring, and audit-ready evidence with strong governance and lineage. You combine data engineering with GRC requirements in regulated environments to drive secure, compliant operations. You will work with cross-functional stakeholders to translate requirements into robust, developer-ready guardrails and integrations. This role offers impact at scale through data-driven cyber defense and AI-enabled governance. Compensation / Benefits * Build scalable batch and streaming pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data stores * Design data models for risk and controls domains including KPIs, issues, risk acceptance, audit evidence, and policy exceptions; enable self-service analytics * Implement data quality checks, lineage, metadata, and access controls to support auditability and repeatable evidence generation * Develop AI-enabled capabilities to accelerate governance, risk, compliance, and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage) * Engineer integrations between data platforms, governance workflows, and enterprise systems using APIs, event patterns, and connectors with observability and runbooks * Collaborate 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 in data engineering and software development using Python and SQL * Experience building production data pipelines for batch/stream processing and cloud deployments * Experience implementing data governance controls (classification, PII handling, encryption, retention, audits, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, governance tool integrations, LLM-enabled apps) * Ability to travel 0-25% and willingness for sponsorship considerations in some cases Key requirements *


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