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