Cybersecurity Data Engineer
网络安全数据工程师位置：远程，美国就业类型：合同指标率：$40$50/小时 合约网络安全数据技术工作重点集中在编排和转换复杂的安全遥测流。工程师开发可扩展的摄入架构和可再利用模式来支持企业安全数据操作。项目可以使用 Cribl,Vector 和其他开源或平台-无知工具以提高数据路由，处理和运营一致性。核心技能 · 安全遥测学 · 数据摄入 · 数据管道 · Cribl · Vector ·开源数据平台 · 管道调整 · 可再用摄入框架需要资格 · 经验设计和实施可扩展的数据摄入管道。· 使用 Cribl,Vector 或相对式数据路由和摄入平台的经验。·开发可重复使用的摄入模式，框架或模板的能力。·与开源或平台无知数据工具的工作经验。• 设计模块化，可维护的数据流结构的能力。最初发布在喜马拉雅山脉。
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Cybersecurity Data Engineer
Location: Remote, USA
Employment type: Contract
Indicative rate: $40–$50/hr
Contract cybersecurity data engineering work focuses on orchestrating and transforming complex security telemetry flows. Engineers develop scalable ingestion architectures and reusable patterns that support enterprise security data operations. Projects may use Cribl, Vector, and other open-source or platform-agnostic tools to improve data routing, processing, and operational consistency.
Core skills
- Security telemetry
- Data ingestion
- Data pipelines
- Cribl
- Vector
- Open-source data platforms
- Pipeline orchestration
- Reusable ingestion frameworks
Required qualifications
- Experience engineering data flows or pipelines for security telemetry or comparable high-volume data.
- Experience designing and implementing scalable data ingestion pipelines.
- Experience with Cribl, Vector, or comparable data routing and ingestion platforms.
- Ability to develop reusable ingestion patterns, frameworks, or templates.
- Experience working with open-source or platform-agnostic data tooling.
- Ability to design modular, maintainable data flow architectures.
Originally posted on Himalayas