Citizenship Requirement: Must be a U.S. Citizen
Clearance Requirement: TS/SCI clearance with polygraph
Job Duties:- Develop analytics using Java MapReduce and Python in the Linux (Red Hat version 7+) environment.
- Develop prototypes, answering new questions, as well as providing better answers to existing questions.
- Develop analytics for survey and intelligence value assessments.
- Work directly with the customer in a highly collaborative, integrated fast-paced environment using leading technologies.
- Provide software development/engineering, including requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
Required Skills:- US Citizens Only
- TS/SCI with Polygraph required
- Bachelor's degree plus eight (8) years of relevant experience or Master's degree in plus six (6) years of relevant experience. An Associate's degree plus ten (10) years of relevant experience or high school diploma/GED plus twelve (12) years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
- Computer Science (CS) degree or related field
- Experience with Java MapReduce, the Hadoop Distributed File System (HDFS), and technologies such as Hadoop Hive, Pig, Etc.
- Experience with distributed scalable Big Data Store (NoSQL) such as H Base, CloudBase/Accumulo, Big Table, etc.
- Experience with serialization such as JSON and/or BSON; developing restful services; and using source code management tools.
- Experience developing software solution using Python
Desired Skills:- Atlassian Jira & Confluence
- SIGINT Analysis
- Experience with Gitlab & Maven
- Kanban Agile process experience
Compensation Range: $125,786.98 - $238,638.89Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
