Data Engineer - TS/SCI

Responsibilities:

• Research opportunities for data acquisition and new uses for existing data and collaborate with respective government POCs to frame open-ended analytical questions, identify weaknesses, develop solutions, and determine trends and/or opportunities.
• Design, construct, install, test and maintain highly scalable data management systems, to include recommendations for improving data reliability, efficiency, and quality in the context of meeting customer expectation and delivery timelines.
• Integrate new data management technologies and software engineering tools into existing structures and architectures, including but not limited to cloud-based data processing and storage.
• Collaborate with ONI Information Technology Enterprise and the Command Information Office (CIO) on implementing and updating disaster recovery procedures for GEOINT data.
• Develop data set processes for data modeling, mining, production, and proof of concept initiatives.
• Employ a variety of scripting languages to develop integrated systems for data management, accessibility, and warehousing.
• Contribute to the design of new product features by articulating current and anticipated customer needs and by weighing design trade-offs.
• May accompany ONI personnel to community GEOINT-related conferences and meetings in order to gain insight and understanding of the latest military and civil sector GEOINT techniques and technologies under development. As required, the contractor also may travel to ashore and afloat naval and joint service commands, GEOINT-related trade shows and conferences to become familiar with special projects, exercises, and analytic methods. (The contractor is not permitted to represent ONI to the community during any conference or meeting. If ONI personnel are not available, the contractor shall act only in an advisory role on GEOINT technologies, techniques, applications, and methodologies and gather facts during the meeting or conference.)

Requirements:

• Bachelor's degree from an accredited institution in a quantitative or technical field of study, such as: Statistics, Mathematics, Computer Science, Physical Science, Engineering or Geographic Information Systems (GIS)
• Three years of practical work experience with data technologies to include but not limited to one or more (exact, similar, or equivalent software) of the following:
• Spark
• Scala
• Hive
• Hadoop
• Three years of practical experience developing scripts, APls, and/or programs using but not limited to one or more (exact, similar, or equivalent software) of the following:
• Java
• Shell
• Perl
• Python
• C++
• Three years of practical work experience building data pipelines, stream processing
• One-year practical work experience with geospatial data and/or imagery data
• Two years of experience writing technical analysis reports
• Demonstrated problem-solving skills
• Demonstrated presentation skills, including but not limited to presenting at professional or academic conferences

CrowdCyber

Suitland, MD

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