> Markdown version of [/jobs/ext/2016025-cyber-ai-data-engineer-senior-consultant](https://www.wearedevelopers.com/jobs/ext/2016025-cyber-ai-data-engineer-senior-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber AI Data Engineer Senior Consultant - **Company:** Deloitte T.T.L. - **Location:** Raleigh, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Data Validation, Information Engineering, Data Governance, Data Systems, Python (Programming Language), Key Management, Operational Databases, Smartsuite, Standard Sql, Runbook, Software Engineering, Systems Integration, Workflow Management Systems, Enterprise Software Applications, Retrieval-Augmented Generation, 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-raleigh-nc-usa-58885332 ## About the Role Develop and defensible evidence * Develop AI-enabled capabilities for governance, risk, compliance, and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance, risk, and compliance workflows and enterprise systems 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 and data models for batch/stream processing, deployed on cloud platforms with containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege access, encryption, retention, audit logging, lineage/metadata) * Experience supporting a defensible risk, and compliance workflows (risk reporting, audit data requests, controls monitoring, testing, compliance metrics), and integrating with GRC tools and LLM-enabled applications using retrieval-augmented generation and secure access patterns * Ability to travel 0-25% and potential for limited immigration sponsorship Key requirements * ## Description Experteer Overview In this role, you will build scalable, governed data foundations powering cyber risk, compliance evidence, and AI-enabled security workflows. You'll design production-grade data pipelines and models for risk and controls, ensuring auditability and governance. You'll work with cross-functional teams to translate regulatory and business requirements into robust data solutions and AI-enabled capabilities that accelerate governance and cyber operations. This is an opportunity to shape data-first cyber risk programs at a leading consulting firm with a focus on impact and compliance. Compensation / Benefits * Build scalable batch and stream 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 checks, lineage, metadata, and access controls for auditability and defensible evidence * Develop AI-enabled capabilities for governance, risk, compliance, and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance, risk, and compliance workflows and enterprise systems 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 and data models for batch/stream processing, deployed on cloud platforms with containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege access, encryption, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring, testing, compliance metrics), and integrating with GRC tools and LLM-enabled applications using retrieval-augmented generation and secure access patterns * Ability to travel 0-25% and potential for limited immigration sponsorship Key requirements * ## Related Videos - [Unlocking Value from Data: The Key to Smarter Business Decisions-](https://www.wearedevelopers.com/videos/1367-unlocking-value-from-data-the-key-to-smarter-business-decisions) - [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [No Keys for the Robot: GitOps as the Control Plane for Autonomous Agents](https://www.wearedevelopers.com/videos/100095-no-keys-for-the-robot-gitops-as-the-control-plane-for-autonomous-agents) - [Bridging AI and Nomad: a Go-based MCP Server for Cluster Control](https://www.wearedevelopers.com/videos/2063-bridging-ai-and-nomad-a-go-based-mcp-server-for-cluster-control) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)