> Markdown version of [/jobs/ext/4547258-network-system-engineer](https://www.wearedevelopers.com/jobs/ext/4547258-network-system-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Network System Engineer - **Company:** Mitchell Martin - **Location:** Richmond, VA, United States - **Experience:** Expert - **Salary:** $145,600.0 - $156,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Cluster Analysis, Cyber Security, Data Normalization, Distributed Data Store, Security Log, Data Streaming, Data Storage Technologies, System Availability, Data Pipelines - **Published:** November 3, 2026 - **Apply:** https://www.thejobnetwork.com/job/d196180c-6feb-40d7-87c6-da9776d14c94/network-system-engineer ## About the Role * 5 years of experience in administering large-scale data analysis environments. * Strong expertise in clustering, data storage, and search optimization. * Proven ability to manage production incidents and root cause analysis. * Experience in high availability production environments. * Excellent communication skills and ability to engage technical stakeholders. ## Description Job DescriptionNetwork System Engineer - Richmond, VA - Contract - $70-75 Per HR This role involves overseeing the operational stability of a data analysis platform in a hybrid setting. The candidate will work closely with security and operations teams to ensure seamless data flow and platform reliability. A strong background in system administration and data pipeline management is essential. Key Responsibilities * Manage end-to-end production support for a distributed data analysis environment. * Ensure high availability and performance of the platform supporting security use cases. * Lead incident response and service restoration efforts. * Enable security log ingestion and data normalization for security operations. * Administer data pipeline management tools for optimal data routing and cost efficiency.