Quantitative Software Engineer

Quantitative Software Engineer needs BS in Engineering, Computer Science, org 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, org 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 environments 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 with NOSQL databases such as Accumulo desired

• 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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