
Data Engineer – Cybersecurity, GRC, AI
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Design and create scalable batch and streaming pipelines for security data, control evidence, and compliance records.
• Develop data models that support risk indicators, issue tracking, risk acceptance, control testing, audit documentation, and policy exceptions.
• Ensure that risk and compliance information is easily accessible through reporting, dashboards, and self-service analytics.
• Implement data validation, manage metadata, track lineage, and establish access controls.
• Create AI-assisted solutions for evidence summaries, support for control testing, policy searches, security investigations, ticket routing, and exception analysis.
• Utilize retrieval-augmented generation, agentic workflows, and orchestration when applicable.
• Integrate data platforms with GRC tools and enterprise applications via APIs, event-driven integrations, and connectors.
• Set up monitoring and operational documentation to ensure production reliability.
• Collaborate with cybersecurity, risk, compliance, privacy, and legal teams to convert requirements into technical controls and implementation guidance.
• Assist in cybersecurity, GRC, and AI-enabled automation initiatives for the client.
• Bachelor's degree or equivalent practical experience.
• Minimum of 4 years of experience in data engineering and software development.
• Proficient in Python and SQL.
• Experience in delivering production data pipelines and models for batch processing, streaming, or both.
• Proven track record in deploying solutions using cloud platforms, containers, infrastructure as code, APIs, and secure secrets management.
• Practical experience in applying data governance and security controls, including data classification, PII protection, least-privilege access, encryption, retention policies, audit logs, and metadata or lineage management.
• Experience in supporting GRC processes such as risk reporting, audit requests, control monitoring and testing, compliance measurement, and integrations with GRC platforms.
• Familiarity with developing LLM-enabled applications using RAG, vector or hybrid search, tool or function calling, evaluation and monitoring, prompt-injection protections, and secure data access.
• Willingness to travel up to 25%, based on project requirements.
• Ability to take ownership of deliverables and collaborate effectively across teams.
• Excellent written and verbal communication skills.
• Capability to explain technical concepts to business stakeholders.
• Strong focus on accuracy, documentation, and quality of delivery.
• Experience in leading projects or workstreams and providing practical guidance.
• Capacity to balance competing priorities, meet deadlines, and cultivate productive stakeholder relationships.
• Limited immigration sponsorship may be available.
• Preferred: experience in consulting or with large enterprise clients.
• Preferred: development experience in Java, Go, or JavaScript.
• Preferred: integration experience with ServiceNow GRC, Archer, OneTrust, or BigID.
• Preferred: data experience with SIEM, SOAR, vulnerability management, identity, or cloud security posture platforms.
• Preferred: production experience in LLMOps or MLOps.
• Preferred: relevant security or cloud certifications such as CompTIA Security+, CISM, CISA, CISSP, or a cloud platform certification.
• Flexible remote work arrangement.
• Contract employment opportunity.
• Chance to engage with modern data platforms and AI automation.
• Opportunity to create reusable architectures, implementation tools, and governance practices.
• Limited immigration sponsorship may be available.
• Travel up to 25%, depending on project requirements.
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