Principal Analytic Developer

Details of the offer

Overview BigBear.a i is seeking a Principal Analytic Developer to join our dynamic team.
The ideal candidate will be adept at creating sophisticated analytics from diverse cyber data and traditional SIGINT, enhancing enterprise-wide mission support.
This full-stack role involves prototype development, iterative questioning, and solution improvement, all within a collaborative customer-facing setting.
Proficiency in AWS, Docker, Kubernetes, Elasticsearch, UI design, and middleware connectors is essential.
The successful applicant will contribute to developing our flagship applications, shaping the future of our technological landscape.
What you will do This is a full stack position using corporate datastores as well as other technologies such as AWS, Docker, Kubernetes, and Elasticsearch Work in a variety of environments to develop analytics based on data from multiple cyber sources, as well as classic SIGINT for use throughout the enterprise to support missions covering a variety of subjects Develop prototypes, answering new questions, as well as providing better answers to existing questions Work directly with the customer in a highly collaborative, integrated fast-paced environment using leading technologies Developing the UI for the application as well as the middleware connectors Work on a team developing the next generation of flagship applications What you need to have Bachelor's degree plus 11 years of relevant experience or Master's degree in plus 9 years of relevant experience.
An Associate's degree plus 13 years of relevant experience or high school diploma/GED plus 15 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position Computer Science (CS) degree or related field Clearance: Must possess and maintain a TS-SCI clearance What we'd like you to have Experience with Java Experience with analytic development in a Linux environment Experience with Docker & Kubernetes Experience with Elasticsearch & Kibana Experience with Javascript, Vue.js, React Experience with Pig & MapReduce Experience with Jupyter Notebooks Experience with Gitlab Demonstrated experience in an Agile Development environment Ability to work in a fast paced, team environment About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.
Customers and partners rely on BigBear.ais predictive analytics capabilities in highly complex, distributed, mission-based operating environments.
Headquartered in Columbia, Maryland, BigBear.ai is a public company traded on the NYSE under the symbol BBAI.
For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: BigBear.ai and X: BigBearai.
What you will do This is a full stack position using corporate datastores as well as other technologies such as AWS, Docker, Kubernetes, and Elasticsearch Work in a variety of environments to develop analytics based on data from multiple cyber sources, as well as classic SIGINT for use throughout the enterprise to support missions covering a variety of subjects Develop prototypes, answering new questions, as well as providing better answers to existing questions Work directly with the customer in a highly collaborative, integrated fast-paced environment using leading technologies Developing the UI for the application as well as the middleware connectors Work on a team developing the next generation of flagship applications What you need to have Bachelor's degree plus 11 years of relevant experience or Master's degree in plus 9 years of relevant experience.
An Associate's degree plus 13 years of relevant experience or high school diploma/GED plus 15 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position Computer Science (CS) degree or related field Clearance: Must possess and maintain a TS-SCI clearance


Nominal Salary: To be agreed

Source: Appcast_Ppc

Requirements

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