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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber AI Data Engineer Senior Consultant - **Company:** Deloitte T.T.L. - **Location:** Jacksonville, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Audit Trail, Data Validation, Information Engineering, Data Governance, Python (Programming Language), Operational Databases, Standard Sql, Runbook, Software Engineering, Data Streaming, Systems Integration, Workflow Management Systems, Enterprise Software Applications, 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-jacksonville-fl-usa-58885335 ## About the Role aaaaat_ (evidence summarization, QA, copilots, ticket triage, exception reasoning). * Engineer integrations between data platforms, governance/workflow systems, and enterprise systems with observability and runbooks. * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into guardrails and implemented controls. Tasks * Bachelor's degree or equivalent practical experience * 4+ years of data engineering and software development using Python and SQL * Experience building production data pipelines and models for batch/stream processing on cloud platforms * Experience implementing data governance controls (classification, least-privilege access, encryption, audit logging, lineage) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, LLM-enabled apps) * Ability to travel 0-25% and willingness to work in client environments * Limited immigration sponsorship may be available Key ## Description Experteer Overview In this role you will build and operate governed data foundations for cyber risk and AI-enabled security workflows. You'll design scalable data pipelines, data models, and governance controls to support risk reporting, controls monitoring, and audit-ready evidence. You'll bridge data engineering with GRC requirements in regulated environments and contribute to AI-enabled capabilities and enterprise integrations. This is a hands-on, impact-driven position within Deloitte's cyber engineering team. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry, control evidence, and compliance artifacts. * Design risk and controls data models (KRI, issues/defects, control testing outcomes, audit evidence) and enable self-service analytics. * Implement data quality checks, lineage, metadata, and access controls for auditability and defensibility. * Develop AI-enabled capabilities for governance, risk, and compliance and cyber operations (evidence summarization, QA, copilots, ticket triage, exception reasoning). * Engineer integrations between data platforms, governance/workflow systems, and enterprise systems with observability and runbooks. * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into guardrails and implemented controls. Tasks * Bachelor's degree or equivalent practical experience * 4+ years of data engineering and software development using Python and SQL * Experience building production data pipelines and models for batch/stream processing on cloud platforms * Experience implementing data governance controls (classification, least-privilege access, encryption, audit logging, lineage) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, LLM-enabled apps) * Ability to travel 0-25% and willingness to work in client environments * Limited immigration sponsorship may be available Key requirements * ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [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) - [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) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)