Data Engineer: Cybersecurity, GRC & AI

Zohorecruit

United States

Remote

USD 110,000 - 170,000

Full time

14 days+
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Job summary

B5 Recruiting is seeking a hands-on Data Engineer for a client opportunity supporting cybersecurity, governance, risk, and compliance (GRC) and AI-enabled automation. You will build and maintain data pipelines, models, and integrations behind risk reporting, controls monitoring, and audit-ready evidence.

The ideal candidate brings practical data engineering and software development experience with an understanding of risk and compliance in complex enterprise environments.

Qualifications

  • 4+ years in data engineering with hands-on Python and SQL.
  • Experience delivering production data pipelines for batch or streaming.
  • Experience deploying cloud-based solutions with IaC, APIs, and secret management.
  • Experience with data governance, PII protection, and audit readiness.
  • Experience supporting GRC processes and integrations with GRC platforms.

Responsibilities

  • Develop scalable batch and streaming data pipelines for security data and compliance records.
  • Create data models for risk indicators, controls, and audit evidence.
  • Establish data validation, metadata management, lineage tracking, and access controls.
  • Build AI-assisted solutions using RAG and LLM-enabled workflows.
  • Connect data platforms with GRC tools via APIs and event-driven integrations.
  • Collaborate with cyber, risk, privacy, and legal teams to translate requirements into controls.

Skills

Python
SQL
Data integration
Communication

Education

Bachelor’s degree or equivalent practical experience

Tools

Cloud platforms
APIs
Containers
CI/CD

Job description

B5 Recruiting is seeking a hands-on Data Engineer for a client opportunity supporting cybersecurity, governance, risk, and compliance (GRC) and AI-enabled automation. You will build and maintain data pipelines, models, and integrations behind risk reporting, controls monitoring, and audit-ready evidence.

The ideal candidate brings practical data engineering and software development experience with an understanding of risk and compliance in complex enterprise environments.

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