Quantitative Software Engineer

Quantitative Software Engineer needs BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree). Quantitative Software Engineer requires: Security Clearance - Current active TS, SCI eligible. BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree). Experience with programming languages such as Python and Java. Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics. Familiarity with various log formats such as JSON, XML, and others. Ability to decompose technical problems and troubleshoot system and dataflow issues. Proficiency with Unix/Linux systems required; primary work environment is macOS. Must be willing to achieve required skill certification promptly. Willingness to do a programming challenge during the interview process. Place of Performance: either Columbia, MD or San Antonio, TX. Both positions would involve hybrid work. Experience with NoSQL databases such as Accumulo desired. CI Poly preferred. Experience developing with Kubernetes environments. Prior experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer. Experience with data flow, management, and storage solutions (i.e. Kafka, NiFi, and AWS S3 and SQS solutions). Familiarity with Agile project team and task management environment. Good communication skills. Experience with Zoom/Teams/Meet style team meetings.

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