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The Senior Data and Application Engineer will participate and provide engineering SME support during the continuous development, hardware engineering, software engineering, data engineering, AI engineering efforts aligned to the latest KAIROS Enterprise Platforms and Data (EPAD) technology roadmap and DoD customer base. These efforts include optimization, development, and integration of various customer hardware and software technology stacks as well as the integration of new customer-requested subsystems operating on NIPR, SIPR, and/or JWICS networks. This role focuses on managing, automating, and improving each customer’s technology platform as well as continuously delivering enterprise platform, data, and AI engineering solutions necessary to rapidly develop, deliver, test, and/or scale new enterprise capabilities. Additionally, this role includes continuously developing, delivering, optimizing, and expanding existing data analytics capabilities using automated data pipelines and software applications that enable decision advantage.
Job Responsibility:
Data and application engineering using existing enterprise architecture: Provide data engineering, data automation, and automated data mapping capabilities that will be used to power a series of software applications
Provide application engineering support necessary to deliver enterprise applications and required data analytics to achieve customer decision advantage
Deliver secure, scalable, and modular platform architecture that is optimized for DoD enterprise data automation, AI model deployment, and continuous feature updates across a global network of priority data platforms and/or customer-owned systems
Drive process standardization and platform improvements based on data analytics, performance metrics, and industry best practices
Technology Leadership: Lead multi-disciplinary hardware, software, AI, and data engineering teams focused on delivering capabilities and features described on the latest KAIROS EPAD technology roadmap
Recommend and implement cutting-edge technologies and methodologies to improve KAIROS data automation processes and platform capabilities
Process Optimization and Automation: Identify areas for process improvement, focusing on automation powered by optimized software applications and data automation capabilities across all KAIROS technology stack components
Continuously innovate new software application data engineering, and AI capabilities focused on delivering a seamless, secure, scalable, and cost-effective suite of KAIROS software and data automation products
Cross-Functional Collaboration: Collaborate with engineering, manufacturing, and product teams to ensure successful design and implementation of enterprise platform and data-automation solutions across various applications
Work closely with supply chain and operations teams to ensure material availability, cost efficiency, and process sustainability
Lead training programs and knowledge sharing initiatives to build internal expertise
Quality and Compliance: Ensure compliance with relevant industry standards and cybersecurity regulations
Implement rigorous quality assurance and control protocols to ensure the production of reliable and high-quality data, AI, and platform engineering products
Project Management: Lead KAIROS EPAD development projects from concept through execution, including project planning, budgeting, scheduling, and reporting
Coordinate with vendors and external partners to source materials, machines, and tools necessary for platform development
Ensure timely delivery of projects, adhering to both technical specifications and budgetary constraints
Requirements:
Expert level experience in DoD NIPR, SIPR, and/or JWICS platform engineering processes
Databricks, Foundry, Qlik, Tableau, Python, SQL, PySpark, Databricks, and other data, software, and application development capabilities
Excellent project management skills, with the ability to manage cross-functional teams
Strong communication and interpersonal skills, capable of leading technical discussions and driving alignment across teams
Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues in a fast-paced environment
Self-starter, highly motivated, strong work ethic with a commitment to quality
Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint
Ability to work within a challenging, fast-paced, team-oriented environment
Ability to work independently
Ability to multi-task and meet competing, deliverable deadlines
Detail oriented
Excellent interpersonal and customer service skills
Excellent verbal and written communication skills to provide clear status and/or communicate issues
Ability to adapt to evolving technology
Bachelor’s or Master’s degree in mathematics, data engineering, data analytics, data science, artificial intelligence, operations research, software engineering, and/or other technical/engineering/mathematical degree fields
Experienced platform engineer familiar with DoD NIPR, SIPR, and JWICS architecture
Knowledge of cybersecurity and data management for DoD and Commercial systems
3-5+ years of DoD experience supporting large-scale data engineering, data automation, and application development efforts using Advana and SIPR, SIPR, and/or JWICS environments
Proven experience in developing scalable, secure, and reliable data and application products that can support 24/7 continuous platform operations and recurring software and data engineering updates within the DoD networks
Proven experience leading multi-disciplinary engineering teams within DoD operating environments
Must be a U.S. Citizen
Must be able to complete the full background investigation