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Company: SAIC
Location: Arlington, VA
Career Level: Director
Industries: Technology, Software, IT, Electronics

Description

Description

Join the Data Feed Integration (DFI) team on the Advanced Battle Management System (ABMS) Cloud-Based Command and Control (CBC2) Program. In this role, you will support SAIC's efforts as the Lead Systems Integrator (LSI) by driving critical data feed integration initiatives. The DFI team plays a pivotal role in ensuring the seamless integration of external data feeds, API-based systems, and internal architectures, enabling mission success. This position is central to modernizing advanced Command and Control (C2) capabilities for DoW systems and advancing operational readiness.
This position operates in a hybrid work environment with responsibilities divided between 25% travel (including installations and integration events in secure spaces), 25% in-office presence for team collaboration and operational needs, and 50% remote work for independent and team-oriented tasks.
This is a unique position that blends technical, strategic, and collaborative responsibilities. You will manage repeatable, standardized integration processes while also developing custom solutions for complex challenges requiring deep knowledge of software networking, secure data exchange, and mission-critical system compatibility. Your contributions will directly impact the ABMS CBC2 program's success.
JOB DUTIES
•    Proactive Coordination: Take initiative to drive integration efforts forward by effectively coordinating across teams and stakeholders. Use clear, concise, and professional communication across various platforms (e.g., Mattermost, Teams, email) to ensure alignment, anticipate potential blockers, and facilitate timely resolution of issues.
•    Requirements Gathering: Collaborate with external stakeholders and internal teams to capture and analyze data feed requirements, ensuring compliance and alignment with cloud-based infrastructure and ABMS CBC2 architecture goals.
•    Standardized Processes: Employ and refine repeatable data feed integration processes to ensure efficiency, consistency, and scalability while meeting mission timelines and requirements.
•    Custom Solutions for Complex Scenarios: Analyze unique or technically challenging data exchange requirements, designing tailored solutions leveraging expertise in software networking, system protocols, and secure data exchange.
•    Data Mappings: Write comprehensive data mappings between external data formats (CSV, JSON, XML, Parquet, ORC, etc.) and the program's internal data structures (UCI XML), ensuring seamless transformation into operationally relevant formats.
•    System Architecture and Diagrams: Create, update and present system diagrams, integration workflows, and technical architecture artifacts, clarifying how new and existing data flows connect to the overall system.
•    Work Coordination: Write and maintain actionable Jira tickets to guide development work, ensuring engineering teams clearly understand technical requirements, priorities, and milestones, and keeping tickets updated throughout the development lifecycle.
•    Cybersecurity Collaboration: Partner closely with cybersecurity teams to validate architecture changes, meet DoW security requirements, and obtain approval for new service connections by providing all necessary technical documentation, including system diagrams and technical details.
•    Testing and Troubleshooting: Oversee end-to-end testing for new data feed integrations, proactively identifying and resolving issues related to performance, data quality, and protocol mismatches.
•    Prototype Development: Engage in lightweight scripting and software development tasks to enable custom data transformations and improve integration workflows.
 

Qualifications


Requirements: 
•    U.S. Citizenship required 
•    Active Secret security clearance required with the ability to obtain TS/ SCI. Active TS/SCI security clearance preferred.
•    Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, Systems Engineering, or a related technical field and nine (9) years of relevant experience; OR a Master's degree and seven (7) years of relevant experience. Equivalent years of directly related experience may be considered in lieu of a degree.
•    Additional certifications (e.g., CompTIA Security+, CISSP, CCSP) or certifications in data engineering, cloud architecture, or software networking are desirable and may be required by contract guidelines.
•    Strong programming skills in Java, Python, and SQL, or other comparable languages and tools commonly used in data integration and system engineering. Familiarity with additional programming or scripting languages such as Rust, Go (Golang), R, or Python libraries like Pandas is a plus. Experience with cloud-focused programming (e.g., working with APIs, cloud SDKs) is highly desirable
•    8+ years of professional experience in one or more of the following technical roles:
o    Software Systems Engineer, with expertise in designing and integrating complex software architectures for mission-critical environments.
o    Data Engineer, specializing in ETL pipelines, data transformation, and secure data integration processes.
o    Software Engineer, focused on designing, implementing, and optimizing scalable systems for secure data exchange.
•    Proficiency in integrating data feeds, APIs, and distributed systems while working with data formats such as CSV, JSON, and XML for seamless and secure system compatibility.
•    Demonstrated experience in designing, developing, and maintaining data pipelines, ensuring efficient and reliable ingestion, transformation, and distribution of operational data.
•    Expertise in problem-solving and troubleshooting, focusing on resolving performance bottlenecks, compatibility issues, and data quality concerns.
•    Strong collaboration skills, with experience working in cross-functional Agile teams—including engineering, cybersecurity, and configuration management teams—to align priorities and achieve mission objectives.
PREFERRED SKILLS AND EXPERIENCE
•    Familiarity with event-driven architectures or stream-processing technologies like Kafka or RabbitMQ to enable real-time data workflows.
•    Proven ability to work in secure environments, performing installations, integration events, and troubleshooting in spaces where personal devices or external technology access is restricted.
•    Proficiency in lightweight scripting to automate data transformations and optimize integration workflows.
•    Knowledge of software design patterns, distributed system architectures, and processes to support scalable and maintainable systems.
•    Strong analytical, organizational, and problem-solving skills, coupled with the ability to communicate technical information effectively within collaborative teams.


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