KR90SWE3 - Sr Software Engineer - Cleared

Principal Software Engineer to devise strategies to extract meaning and value from structured and unstructured data, leverage statistical methods and/or machine learning to discover patterns and behaviors of entities, use query and visualization tools-such as DataXplorer- to present question focused datasets in a story like manner, collaborate with various domains of metadata to develop new methodologies and techniques for automated data characterization, analyze and develop requirements to support the characterization and ingestion of new and existing data types, collaborate with client teams to understand direct needs and requirements, devise strategies to extract meaning and value from structured and unstructured data and collaborate with client teams to understand needs.

Requirements

TS/SCI with poly required

• Twenty (20) years experience as a SWE in projects of similar scope, type, and complexity is required.
• Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
• Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.

Desired:

• Knowledgeable of data enrichment/conversion methods
• Familiar with data ontologies/schemas
• Obtain strong knowledge of structured data types (XML, CSV, JSON)
• Database experience
• JAVA/python
• Analytic development experience
• Working knowledge of NIFI are desired.
• Analytic development experience using scripting languages such as Python and Scala to use statistical libraries against data
• Skilled with big data processing frameworks such as Pig, MapReduce and Spark to scale algorithms over large volumes of data
• Experience employing combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting meaning and value from large datasets
• Experience with predictive analytics, machine learning, and data mining
• Skilled with data flows, Pig scripting, Hadoop MapReduce, and various analytic tools
• Skilled working with development and SE teams, other stakeholders agencies, and leadership
• Knowledge of data indexing and analytic development
• Experience working with cloud service providers and data stewards
• Demonstrated experience in network metadata processing, manipulation, and analysis in support of analysis

Benefits

• Health & Life Insurance
• Dental Insurance
• Disability Insurance
• 401K Retirement Plan with Matching
• Tuition Assistance
• Vacation and Sick Leave
• Hiring Bonuses
• Referral Recruitment Program