Barbaricum is seeking an experienced Data Engineer to provide support to a Department of Defense (DoD) Office of Inspector General (OIG) customer.The Data Engineer will integrate as part of a team focused on developing data efficiencies to facilitate the OIG’s ability to discharge its oversight role of identifying waste, fraud and abuse across the DoD enterprise. This individual will leverage experience and expertise in data engineering tools, with an emphasis on Hadoop and R, to lead the architecting of a new framework and solution to efficiently and effectively track large amounts of data relevant to the OIG’s oversight function, with particular implications for supply chain security across DoD.
Responsibilities
Lead with creation, troubleshooting, and deployment of analytical processes that span across multiple software platforms including Cloudera Hadoop, R, Spark, Tableau, and SAS
Investigate and resolve collaboration system deterioration and/or failures, and develops techniques to resolve hardware, software, and networking problems in system components
Ability to maintain elevated rights on the DoD OIG network
Analyze collaboration system performance, benchmark data, and system configuration for maximum performance
Assist with regular training sessions and maintain open office hours for teams to directly ask for analytics software support
Qualifications
Active DoD Secret Clearance
Bachelor’s degree in Computer Science, Engineering, or related field and 10+ years of relevant experience
Demonstrated proficiency in data management systems and statistical packages such as Cloudera Hadoop and/or R
Direct experience creating sustainable, automated processes for data analysis
Expert at understanding and creating high level architectural specifications
Advanced technical expertise with programmatically manipulating data
Must be able to acquire and maintain one of the following certifications: CompTIA Security +, SCNP, or a SSCP
Desired Qualifications
Experience with Hive, PIG, Sqoop, and Flume
Experience with Natural Language Processing (NLP) within R, Spark, SAS programming
