Active TS/SCI with a CI poly is a must - this effort is on Site 
All qualified candidates will be responded to in 24 hrs or less.
Employment type: Full Time w-2 or C2C or 1099. 
Rate: open to Negotiation

 Create both the front end for user to interface and the back end for processing and data storage
• Create solutions for continuous integration/continuous deployment pipeline and for scalability to meet surge demands
• Conduct exploratory data analysis on new sources of ISR data, creating discovery opportunities for optimization of AI and ML applications
• Create, maintain, and track the design of data pipelines utilized to streamline OPIR data ingestion, scale data streams, and develop predictive analytic products
• Standardize process, scalability with local teams, and monitoring and maintenance of operational metrics.
• Facilitate data collection, cyber security compliance, and communication
• Collaborate with cross-functional teams including data scientists, analysts, network engineers, and software engineers to understand data requirements and develop scalable data solutions
• Develop, maintain, and optimize ELT processes to ensure the timely and accurate movement of data from source systems to data warehouses and other storage solutions
• Oversee and maintain the day-to-day operation of Linux-based network servers, cloud-based environments, and virtual environments
• Implement, administer, and troubleshoot security, data recovery, and network infrastructure solutions
• Configure and troubleshoot hardware and software issues related to operative systems, network devices, and custom applications
• Identify, analyze, and resolve system issues
• Perform routine network startup and shutdown procedures and monitor system performance
• Monitor network security and implement security policies
• Work with vendors and contractors to resolve outstanding issues
• Develop and implement system backup and recovery policies and procedures
• Ensure system and data security and integrity through consistency, validation, and error checking routines
• Prepare and implement reasonable, secure methods for the collection, storage, and disposition of data
• Monitor troubleshoot data pipelines, identifying and resolving performance bottlenecks, errors, and inconsistencies
• Collaborate in the design and implementation of data security and privacy measures to protect sensitive information
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