Job Duties:- Work in a variety of environments to develop analytics based on data from multiple cyber sources, as well as classic SIGINT via data tagging.
- Developing analytics to produce metrics based on data tagging efforts.
- Develop prototypes, answering new questions, as well as providing better answers to existing questions.
- Work directly with the customer in a highly collaborative, integrated fast-paced environment using leading technologies.
- Developing analytics using Java in a Linux environment.
Required Skills:- US Citizens Only
- TS/SCI with Polygraph required
- Bachelor's degree plus two (2) years of relevant experience or Master's degree and no experience. An Associate's degree plus four (4) years of relevant experience or high school diploma/GED plus six (6) 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
- Software development/engineering experience including requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
- Experience with Java Pig/MapReduce & Python
- Experience with distributed scalable Big Data Store (NoSQL) such as H Base, CloudBase/Accumulo, Big Table, etc.
- Experience with the Hadoop Distributed File System (HDFS); and technologies such as Hadoop, Hive, Pig, etc.
- Experience with Serialization such as JSON and or BSON; developing restful services; and using source code management tools.
- Experience with analytic development in a Linux environment.
Desired Skills: - Experience with front end development technologies such as Node.js and Neo4j
- Experience with Maven and Git
- Experience with Apache NiFi
- Ability to work in a team environment.
Compensation Range: $76,000 - $184,000Compensation 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.
