Data Engineer (Cybersecurity)
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Some ghost-posting signals
- open for 284 days (90+ without a fill is a strong ghost signal)
- 68 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
Key Responsibilities
Design, build, and optimize large-scale data systems for threat detection, investigation, and analysis
Scale data systems to stay ahead of emerging threats and growing data volumes
Develop scalable and high-availability system architecture with CI/CD
Build high-performance microservices and RESTful APIs
Enhance dashboards for system health monitoring and telemetry collection
Stay up-to-date with industry trends and emerging technologies to improve our data systems
Requirements (Minimum Qualifications)
Background in Computer/Electrical Engineering, Computer Science, Data Engineering, or equivalent
1-3 years of experience in Data Engineering
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Proficiency in programming languages such as C, C++, Java, or Python
Nice-to-haves
Advantageous experience/knowledge in:
SIEM tools (e.g., Splunk, ELK stack)
Network IDS tools (e.g., Snort, Suricata)
High-performance, scalable, low-latency networking
Cloud-native technologies (e.g., Kubernetes, Docker)
Microservice and RESTful APIs design and development
DevOps CI/CD tools (e.g., Gitlab CI/CD, Kubernetes, Helm)
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