Why this role stands out
This hybrid System Engineer role offers a fantastic opportunity to lead the design and sustainment of critical dataflow architectures, leveraging your expertise in Linux and Hadoop to ensure mission success. You'll thrive here if you're a mid-senior engineer passionate about security, automation, and driving technical leadership within an Agile environment. Apply today to contribute to cutting-edge solutions and grow your career in a dynamic setting.
Quick overview
Job description
Avid Technology Professionals System Engineer 6
- Annapolis Junction, MD Lead the design, integration, and sustainment of complex enterprise dataflow architectures supporting mission-critical analytics, ensuring reliable ingestion, processing, routing, and delivery across large-scale cloud and distributed environments.
Manage and optimize high-availability Linux and Cloudera Hadoop cloud infrastructures, including virtual machines, storage containers, and enterprise data repositories, to support thousands of secure operational dataflows. Engineer and maintain end-to-end dataflow solutions using technologies, and related processing systems, ensuring schema compatibility, metadata integrity, and proper data governance throughout the lifecycle.
Develop and implement monitoring, troubleshooting, and automation strategies utilizing system instrumentation, cron scripting, logging, and operational monitoring tools to improve system continuity, performance, and incident response capabilities. Provide technical leadership for DevOps and Agile/Scrum initiatives, including task prioritization, workflow modernization, requirements management, and cross-functional coordination to improve operational efficiency and team performance.
Ensure compliance with enterprise security, classification, and data handling requirements by applying deep knowledge of intelligence community governance policies, access controls, and secure data routing methodologies. Coordinate across engineering, operations, analytics, and stakeholder organizations to deploy new capabilities, transition systems into production, establish standard operating procedures, and support enterprise-wide mission objectives through scalable and resilient dataflow solutions.
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