Work Location: DMV (Washington DC Metropolitan area)

Telework Availability: Hybrid offered. Note: Should be able to work in a SCIF as needed

What you will do (day in the life):

• Interact with customers, Program Managers, and other development teams to gather, analyze and define requirements to determine the most effective data solutions for web technologies to satisfy the client needs
• Use system-of-systems engineering tools and practices, such as systems engineering, to understand, model, analyze, architect, design, and manage complex missions as end-to-end mission threads across the entire mission enterprise.
• Design systems, applications, and data architectures with a focus zero trust architecture and security by design best practices to support achieving better reliability, precision, accuracy, and speed to meet performance requirements.
• Define and implement both traditional and emerging approaches to validate and verify methods to acquire data required for Probabilistic/Statistical means for solving problems connected to attaining the best possible algorithms; algorithm outcome requirements; and systems requirements definition.
• Support the development of cross functional or large-scale automated information systems to include enterprise architectures
• Design system architectures to include the software, hardware, and communications to support the total requirements and provides for present and future cross functional requirements and interfaces
• Provide comprehensive definition of all aspects of system development from analysis of mission needs to verification of system performance
• Perform evaluation of system alternatives and assessment of risks and costs
• Design, models, documents, and guides the logical and conceptual relationship of data and database changes for complex applications.
• Analyze needs and requirements of existing and proposed systems, and develops technical, structural, and organizational specifications.
• May create standards and/or do modeling to monitor and enhance capacity and performance
• Ensuring the integrity of data backup and storage systems
• Managing the configuration of operating systems
• Anticipating possible problems and resolving them before they impact users when possible
• Provides specific input to the data layer components of system design to include technology trade-offs, software reuse, and requirements analysis from system level to individual software components
• Utilizes software engineering and design methodologies appropriate to the development, integration, and enterprise level production environment
• Incorporate customer specifications, data flow diagrams, and adheres to laws, standards, and established guidelines for development and delivery of software and web applications
• Develop and maintains data layer technical documentation to assist with software and web application maintenance and upgrades
• Provide data layer process management and configuration management throughout the software development life cycle.
• Recommend new technologies and processes for complex software projects.
• Ensure quality control of all developed and modified data solutions.
• Analyze and troubleshoots extremely complex software problems and provides solutions using the latest technologies.

• Active TS/SCI with polygraph
• Bachelors Degree with at least 12 years of relevant experience or Masters Degree with at least 10 years of relevant experience.
• Active Security Certification
• Experience working with zero-trust and security by design concepts
• Experience in troubleshooting complex data analytic systems.
• Experience creating formal design processes using industry best-practices in data modernization and security best practices
• Should have thorough experience working with Python and associated libraries
• Experience in creating and using Docker Images and Kubernetes
• Experience in Jira/Confluence using Agile/SCRUM methodologies and Kanban
• Should have experience in extract, transform, and load (ETL) of legacy data source to current standards (e.g., experience in migrating from a relational database to a NoSQL database)
• Data standardization and normalization of legacy data source
• Should have a working knowledge of Linux (i.e., should be able to edit/debug programs on Linux).
• Experience extracting implementation measurements and interaction requirements from designs
• Experience working with and developing design systems is a plus
• Technical understanding of big data concepts, cloud technologies such as AWS and Oracle.
• Experience creating and troubleshooting APIs for migrating data from a relational data base to a NoSQL database (PostgreSQL)
• Strong trouble shooting and problem-solving skills.
• Must be able to work in a collaborative work environment.
• Enthusiastic about teamwork, comprehensive automated tests, and collective code ownership.