Data Engineer
3 weeks ago
As a highly skilled Data Engineer, you will play a critical role in advancing the Readiness Decision Impact Model (RDIM) - a vital tool used across the Department of Defense (DoD) to analyze military readiness data. Your expertise will empower senior leaders with real-time insights to drive critical national defense strategies.
Key Responsibilities:
Develop and maintain the RDIM, leveraging Python to enhance and optimize the model, integrating various models across the DoD via the CDAO's Advana platform.
Manage Data Accuracy: Automate and govern Force Provider baseline forecast data to ensure reliability and precision for senior decision-makers.
Visual Analytics: Contribute to the development of the Readiness Analytics Visualization Environment (RAVEN) to offer leaders actionable insights via user-friendly interfaces.
Compliance & Lifecycle Processes: Ensure RDIM aligns with ISO/IEEE 29148-2018 standards, participating in Test Readiness Reviews (TRR) and software deployment efforts.
Advanced Data Analysis: Perform data mining and analysis to uncover insights that inform strategic decision-making.
Collaborate Cross-Functionally: Work closely with the DoD's Data Science, Engineering, and Web Development teams to streamline development processes.
Documentation & Governance: Support the creation and maintenance of programmatic processes, technical design documents, and user guides.
Continuous Improvement: Integrate new models and features to keep RDIM updated and aligned with evolving readiness needs.
Configuration Management: Maintain version control and ensure the RDIM's integrity throughout its lifecycle using best practices in Git.
Requirements:
Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related field.
Minimum of 3 years of experience in data engineering and software development or a combination of education and relevant experience.
Proficiency in Python and experience with JavaScript, TypeScript, C#, SQL. Familiarity with DevSecOps practices, including containerization tools like Docker and Kubernetes. Experience with cloud platforms and database systems. Knowledge of front-end frameworks (e.g., React, Vue, or Svelte). Understanding of Agile/Scrum methodologies for software development. Proficiency with Git for source control.
Strong attention to detail and problem-solving abilities. Active Secret clearance required; Top Secret clearance preferred.
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