Agile Defense-posted 6 days ago
Fort Meade, MD

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests. The USCC J9 DCO effort key activities will modernize the DCO mission space to Defend the Nation against malicious cyber actors. The DCO effort will span multiple disciplines (e.g. Data Science, Systems Engineering, Analytics, Development) with a focus on building capabilities that enable knowledge driven operations and information sharing in the Cybersecurity domain to support DODIN, NC3, and the greater WOG. The DCO effort will spearhead the collection, analysis, and defense of emerging threats through a revolutionary and integrated ecosystem, a common operating picture, analytics and a communications hub, and persistent joint operations; protect systems/networks through forward-looking technologies and threat intelligence; and pioneer integrated coalitions to strategically posture with the speed and agility necessary to protect the U.S. and its allies. Deliverables will enable DODIN Areas of Operation (DAO) commanders and directors in their efforts to harden information systems, reduce the attack surface, and enable a proactive defense; operationalize knowledge to enable analysts to generate new MCA insights and a holistic view of the MCA landscape to feed battle plans; and annihilate NC3 threats to protect the U.S. and its allies from nuclear attack.

  • Proficient in data manipulation and transformation, especially with large datasets.
  • Experience ingesting data from various sources like Excel files, CSVs, databases, system logs, etc.
  • Ability to clean and preprocess data, removing unnecessary data elements.
  • Familiarity with ETL (Extract, Transform, Load) processes.
  • Experience working with Elasticsearch or OpenSearch for indexing, searching, and querying large datasets.
  • Ability to optimize searches and manage clusters.
  • Knowledge of the Elasticsearch query DSL, indexing strategies, and performance tuning.
  • Proficient in creating visualizations and dashboards in Kibana.
  • Understanding of how to use Kibana for data exploration, trend analysis, and reporting.
  • Experience in creating visualizations in a UI Design Framework, like React.js with Material-UI.
  • Understanding basic UI/UX principles for a positive user interface experience to convey data in meaningful ways to analysts and decision-makers.
  • Strong proficiency in programming languages such as Python, Java, or other relevant languages for data processing and UI development.
  • Experience in writing automation scripts for repetitive tasks (e.g., ingesting data, cleaning, etc.).
  • Understanding of data structures, algorithms, and common data science techniques.
  • Experience with data science tools like Pandas, NumPy, or similar libraries for data manipulation.
  • Familiarity with cloud platforms (AWS, Azure, etc.) is a plus, especially if the data pipeline is running in the cloud.
  • Understanding distributed systems principles.
  • Experience in taking ideas and proofs of concepts to a minimal viable product.
  • Experience in developing rapid prototypes to meet critical mission needs.
  • 15+ years of experience working in data engineering or software development with a focus on data processing and user interface development.
  • Qualifications - Degree from an accredited college or university in System Engineering or related discipline.
  • 15+ years of experience with a Masters Degree.
  • 18+ years of experience with a Bachelor's degree.
  • 20+ years of experience with Associate's Degree or HS Diploma.
  • Exposure to Elasticsearch/OpenSearch is a plus, but it’s not a dealbreaker if they have strong data engineering skills in other areas.
  • Exposure to a UI framework like React.js is a must.
  • Experience with rapid prototype creation and deployment is a must.
  • Comfortable working under tight deadlines as necessary.
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