Senior Software Engineer (TS/SCI w/ Poly) - Analytics

IntelliGenesis; Columbia (MD); Presencial; USD 198.000 - 223.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

401(k) company match

Paid time off

Descripción de la vacante

IntelliGenesis is seeking a highly skilled professional in the United States to develop analytics using multiple software platforms and languages. The role involves coordinating with the Capabilities development team and advising on optimal integration across disparate systems.

The candidate will contribute to a holistic analytic approach by correlating information from multiple repositories, leveraging Java, Python, C, and QTA, and applying Hadoop and Linux expertise to GEOINT data. U.S.

Formación

• U.S. Citizen.
• TS/SCI with polygraph required.
• Bachelor’s degree + 11 years of relevant experience or Master’s degree + 9 years of relevant experience; Associate’s degree + 13 years or high school + 15 years considered with deep related experience.
• Computer Science (CS) degree or related field.
• Experience with Java, Python, C, and Query Time Analytics (QTA).
• Customer GHOSTMACHINE analytic development.
• Experience with Hadoop (Map Reduce, and Accumulo).
• Experience with Linux.
• Experience with GEOINT.
• Familiarity with JIRA and Confluence.
• Understanding of customer analytical tools’

Responsabilidades

• Use leading edge technologies to access data across many platforms and environments to develop analytics.
• Coordinate local development efforts with Capabilities development team and advise on best paths with disparate systems.
• Assist in developing a holistic analytic approach by correlating and collating information from multiple content repositories.

Educación

Bachelor’s degree + 11 years experience or Master’s + 9 years experience in CS or related field

Herramientas

Hadoop (Map Reduce, Accumulo)

Linux

GEOINT

JIRA

Confluence

Descripción del empleo

IntelliGenesis is seeking a highly skilled professional in the United States to develop analytics using multiple software platforms and languages. The role involves coordinating with the Capabilities development team and advising on optimal integration across disparate systems.

The candidate will contribute to a holistic analytic approach by correlating information from multiple repositories, leveraging Java, Python, C, and QTA, and applying Hadoop and Linux expertise to GEOINT data. U.S.