Chief Systems Data Engineer

Description

SAIC’s Space & Intel Business Group, USG Mission and Information Technology Division, is seeking a Chief Systems Engineer to support a program which leverages integrated discrete technologies to support massive data processing, storage, modeling, and analytics over several thousand unique data sources, to perform threat identification and analysis, as well as support efforts to meet tactical and strategic goals. This position is in McLean, VA and requires an active TS/SCI clearance with Polygraph .

Job Responsibilities:

• Support access management functions across a data platform, to include the administrative activities of granting access to the data platform, as well as tracking of onboarding and offboarding personnel.
• Meet compliance requirements (e.g., legal, policy, INFOSEC) for processing, accessing, querying and reporting findings from data.
• Conduct daily system architecture operations (e.g., maintenance, builds) in support of data analysis and technical requirements.
• Perform technical systems administration activities in support of complex data operations activities. In some cases, activities are time sensitive.
• Develop integration plans that capitalize on new data processing, modeling, and storage technologies including the cloud environments.

Qualifications:

• Active TS/SCI with polygraph.
• Bachelors degree in mathematics, computer science, engineering, or similar scientific or technical discipline and 18 years or more experience; Masters and 16 years or more experience; PhD or JD and 13 years or more experience.
• Ability to develop, run, and analyze results of complex queries against massive scale data stores or data processing environment(s).
• Practical experience manipulating high-volume structured and unstructured data to perform analysis and generate reporting or products.
• Experience using analytic techniques and tools performing technical analytic support to the Intelligence Community.
• Practical experience developing and using computer languages (e.g., Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data, and to develop, validate, and use methodologies to support analytic requirements in Clustered Computing environments.
• Ability to perform All-Source data analysis to perform technical analytic support in the Intelligence Community.

Desired Skills:

• Graduate degree in computer science, information systems, engineering, or another scientific or technical discipline.
• Demonstrated experience using Enterprise Control Language (ECL) and the Lexis-Nexis High Performance Cluster Computing (HPCC) platform.
• Experience writing cables.
• Experience planning and coordinating program activities such as installation and upgrading of hardware and software, utilization of cloud services, programming, or systems design development, modification of IT networks, or implementation of Internet and intranet sites.
• Ability to deploy web applications to a cloud managed environment to include DevOps and security configuration management.
• Experience with cloud infrastructure services such as EC2, ELB, RDS, S3, and VPC.
• Ability to support documentation to meet data compliance requirements (e.g., legal, data policy).