Data Engineer

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K ’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

• Innovative Projects: K ’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
• Collaborative Environment:
  Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
• Impactful Work:
  Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
• Role and scope:
  As a Data Engineer, you will be a critical part of the team enabling data-driven decision analysis products through applying and promoting novel methods from data science, machine learning, and operations research to provide robust testing and evaluation capabilities to support DoD modernization.
• Team engagement:
  You will support analytic workflow and product development, promote best practices from data science, conduct applied methods projects, and support creation of analysis-ready data.
• On-site responsibilities:
  When supporting at sites, you will be the face of the CHEETAS Team, ensuring stakeholders have analytical tools, data products and reports to make informed recommendations based on your data-driven analysis.
• Stakeholder communication:
  You will assist both analyst/technical and non-analyst/non-technical stakeholders with the analysis of DoD datasets and demonstrate insights gained from DoD Test and Evaluation data.
• Collaboration and support:
  You will have reach-back support from other data science team members as well as software engineering and system administration teams.
• On-site tools and training:
  While onsite, you will run and operate CHEETAS (and other tools); demonstrate tools to stakeholders and VIPs; adapt tools, notebooks and reports to emerging needs; gather requirements; report feature requests or bugs; and conduct hands-on training with end users, including troubleshooting in closed networks without internet access with team support.
• Independence and motivation:
  Successful candidates must be self-motivated and capable of working independently with minimal supervision.
• Experience expectations:
  Data Engineers with 10+ years of DoD experience are welcome, with a preference for 15+ years.
• Travel:
  This position will require travel of 25%, with potential surge to 50% to support end users across DoD ranges and labs in the US (including Alaska and Hawaii). Remote or nearby K  office work is possible when not on site.

• Active or current TS/SCI Clearance is required
• Degree in operations research, engineering, applied math, statistics, computer science or information technology with preferred 15+ years of DoD experience; 10-15 years considered on a case-by-case basis. Entry level candidates will not be considered.
• Five (5) years of hands-on experience in big data analytics
• Five (5) years of hands-on experience with object-oriented and functional languages (e.g., Python, R, C++, C#, Java, Scala, etc.)
• Experience working in teams developing and interpreting analytic products with DoD data types
• Competency in software engineering concepts, statistical analysis, data mining, machine learning, and modeling to inform technical choices and infrastructure configuration
• Proven ability to handle large data for ETL processes
• Experience with big data infrastructure (e.g., Spark, Trino, Hadoop, Hive, Neo4J, Janus Graph, HBase, MS SQL Server with Polybase, etc.)
• Experience dealing with imperfect data
• Experience implementing data visualization solutions

• Experience with Python and R for processing, analyzing and visualizing data
• Experience using notebooks (Jupyter, RMarkdown) for reproducible products
• Experience with interactive visualization tools (RShiny, py Shiny, Dash) for…