Responsibilities
- 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 and GMAE, to present question focused datasets in a story-like manner
- Work with various domains of metadata to develop 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 customer teams to understand direct mission needs and requirements
- Devise strategies to extract meaning and value from structured and unstructured data and collaborate with customer teams to understand mission needs.
- Recommend new technologies and processes for complex software projects and serve as the technical lead of multiple software development teams.
- Select the software development process in coordination with the customer and system engineering.
- Ensure quality control of all developed and modified software. Delegate programming and testing responsibilities to one or more teams and monitor their performance
- Develop simple data queries for existing or proposed databases or data repositories
Requirements
- TS/SCI with Polygraph level clearance is required.
- Seventeen (17) years of experience as a Software Engineer (SWE) supporting programs and contracts of similar scope, type, and complexity.
- Bachelor’s degree in Computer Science or a related discipline from an accredited college or university. Note: Four (4) additional years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
- Minimum of 6 recent years of development experience.
- Knowledgeable with data enrichment/conversion methods, familiar with data ontologies/schemas, strong knowledge of structured data types (XML, CSV, JSON), and has database experience.
- JAVA, analytic development experience, and working knowledge of NIFI are highly desired.
Nice to Have
- 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 intelligence analysis.
Benefits
- Heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.
Work Arrangement
On-site
Additional Information
- Flexible hours.
- TS/SCI with Polygraph level clearance is required.
