Additionally need to have as many as the below as possible but not all required:
•GitLab
•Bash
•Linux/Unix/RHEL
•Kubernetes/Helm
•AWS: EC2, S3, RDS
•Interfaces: REST, Kafka, AMQ, Socket
•Data Configuration: Delimited, JSON, GeoJSON, YAML

•Our engineering teams are highly adept at solving complex problems with the application of leading-edge technology, empowering the intelligence and defense communities as they make mission-critical decisions.
•Work in a fast-paced environment with many moving parts while managing several tasks at once. All while bringing a continuous delivery mindset to achieve high availability goals for the flow of data to and through the system.
•Work with external data providers, users, and stakeholders to engineer the ingest and distribution of mission-relevant data feeds into the FADE data ecosystem.
•Utilize modern technologies to create and maintain hundreds of integrated data pipelines across multiple networks, while ensuring data resiliency and reliability.
•Focus on the operations of COTS and GOTS software to ensure low latency and high integrity of quality data through hundreds of pipelines.

•Configure and maintain data ingest workflows (ETL) across multiple production systems
•Install, configure, and update a wide array of COTS/GOTS software applications
•Support and troubleshoot diverse IT infrastructure hardware platforms and protocols
•Work with software development and systems administration staff to monitor and troubleshoot production systems
•Generate and maintain systems documentation and diagrams
•Troubleshoot network issues and establish new connectivity
•Monitor and maintain a variety of databases

Required:
•Education: Bachelor’s degree or equivalent (master’s preferred)
•Minimum 3 years of experience with software development programs
•Must be certified to meet DoD 8570 level IAT-II qualifications. Security+ certification or CISSP preferred. This certification must be obtained within 6 months of hire if not already certified and maintained throughout your time in the position.
•Ability to work in a dual-hatted, agile environment while juggling multiple tasks with shifting priorities
•Strong systems engineering background including scripting skills in Python and Bash
•Developing in a Linux environment, Commercial Cloud Systems, (AWS – EC2, RDS, S3)
•Engineering management tools (JIRA/Confluence), RDBMS databases (PostgreSQL, Oracle, MySQL)
•Git version-control system, CI/CD tools such as Docker, Kubernetes, Helm, GITLAB Runners,
•Common data/configuration formats: Delimited, JSON, GeoJSON, YAML, Common API/interfaces: REST, SFTP, Kafka, AMQ, Socket

Data Engineer

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