Data Engineer Readiness Decision Impact Model Specialist
4 days ago
We are seeking an experienced Data Engineer to join our team at Executive Recruiting. This is a unique opportunity to work on the Readiness Decision Impact Model (RDIM), a vital tool used across the Department of Defense (DoD) to analyze military readiness data.
Key Responsibilities:
- Develop and Maintain RDIM: Use Python to enhance and optimize RDIM, 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.
- Teamwork & Independence: Deliver high-quality solutions independently or in a collaborative team environment, ensuring deadlines and budget targets are met.
- Additional Duties: Perform other tasks as assigned by management.
Qualifications:
- Education: Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related field.
- Experience: Minimum of 3 years of experience in data engineering and software development or a combination of education and relevant experience.
- Technical Skills:
- Proficiency in Python (required) 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.
- Salary: $120,000 - $180,000 per year.
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