Job Duties:- Use leading edge technologies to develop analytics pulling data from multiple cyber sources as well as classic SIGINT.
- Develop prototypes answering new questions as well as providing better answers to existing questions.
- Develop new ways to represent the data using data science methods and automating analytic processes using machine language frameworks.
- Work directly with the customer in a highly collaborative, integrated environment.
- Design, develop, test, deploy, and document big data cloud computing workflows.
- Developing answers to questions via Java MapReduce, making them available via the corporate tool suites.
- Opportunities to research and work with multiple platforms for developments.
- Working in a cohesive, small team environment.
Required Skills:- US Citizens Only
- TS/SCI with Polygraph required
- Bachelor's degree plus five (5) years of relevant experience or Master's degree plus three (3) years of relevant experience. An Associate's degree plus seven (7) years of relevant experience or high school diploma/GED plus 9-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
- Strong Java skills, developing software in Red Hat Linux (versions 3 - 5+)
- Experience with Java Pig, MapReduce
- Experience with technologies such as Hadoop, Hive, etc.
- Experience with distributed scalable Big Data Store (No SQL) such as H Base, CloudBase/Accumulo, Big Tables, etc.
- Experience with Hadoop Distributed File Systems (HDFS)
Compensation Range: $95,886.34 - $220,748.43Compensation 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.
