MANTECH seeks a motivated, career- and customer-oriented Python Software Engineer in Herndon, VA . In this role, you will be responsible for making cyber-relevant data accessible, usable, and secure for analysts and mission stakeholders. You will support efforts to build and maintain data pipelines that convert raw cybersecurity data into structured formats optimized for analysis and support the development, transformation, and availability of large-scale datasets.
Responsibilities include, but are not limited to:
Developing, testing, and maintaining high-quality production-level software using Python and bash scripting
Analyzing datasets, generating data dictionaries, and defining field transformations
Participating in code reviews, identifying areas for improvement, and implementing practical solutions
Ingesting, querying, and reviewing data using Elasticsearch and Kibana
Collaborating with cross-functional teams to diagnose, debug and resolve data parsing and production issues
Creating large-scale data pipelines with high throughput
Staying up to date with emerging trends and technologies, especially those pertaining to Python development
Minimum Qualifications:
Bachelor's degree in Computer Science or a related field and 3+ years of programming experience or High School Diploma and 7+ years of experience
Experience using Python to build command line applications, maintain shared code libraries, and manipulate data formats like JSON, JSONLines, CSV, XML or similar
Experience in Git and GitHub workflows, including branching, pull requests, code reviews, merges, and conflict resolution
Experience with Bash and working with compressed files
Experience ingesting data for Elasticsearch, Lucene, Solr, or similar search engines
Ability to perform software installation, configuration, shell scripting, and troubleshooting in Linux
Ability to interface programmatically with AWS services like S3 or EC2 using Python
Clearance Requirements:
Must have an active/Current TS/SCI with polygraph
Physical Requirements:
Must be able to remain in a stationary position 50%
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