• Develop, test, and maintain data pipelines and DBT models to ensure reliable data flow across systems. • Collaborate with analysts to structure datasets that are optimized for reporting and activation. • Support data quality checks, monitoring, and documentation to maintain trust in our data. • Assist with data integrations across tools like Google Tag Manager, Hightouch, Segment, and Braze. • Work with senior engineers to understand our data architecture and best practices. • Partner with marketing, product, and operations teams to help deliver data for targeting, personalization, and measurement. • Participate in code reviews, team discussions, and continuous improvement initiatives. • Troubleshoot data issues, track root causes, and propose solutions. • Help improve workflow automation. • Contribute to documentation and internal guides for the data team.

• Actuar como referente técnico y mentor para equipos de negocio en el diseño, desarrollo e implementación de productos de datos. • Acompañar a equipos no técnicos en el diseño y desarrollo de productos de datos. • Actuar como mentor técnico, guiando en: Buenas prácticas de data engineering, uso de herramientas (Dataform, GitLab, etc.), estructuración de pipelines y modelos de datos. • Definir y promover estándares de: Gobierno de Datos y calidad, trazabilidad y documentación. • Asesorar en la implementación de: Infraestructura como código (Terraform) y flujos de CI/CD y prácticas DevOps. • Apoyar en la revisión (code review / design review) de soluciones desarrolladas por equipos de negocio. • Traducir necesidades de negocio en lineamientos técnicos claros y accionables. • Diseñar guías, templates y buenas prácticas reutilizables. • Impulsar la adopción de herramientas y frameworks definidos por Datadem. • Acompañar la evolución hacia soluciones basadas en: IA / LLMs, automatización y desarrollo de agentes (a nivel conceptual y de adopción). • Identificar riesgos técnicos y proponer mejoras en las soluciones desarrolladas por los equipos. • Fomentar una cultura de ownership de datos en los equipos de negocio.

Requisition Number: 27867 Required Travel: 51 - 75% Employment Type: Part Time/Hourly/Non-Exempt Anticipated Salary Range: $106,124.00 - $150,000.00 Security Clearance: Ability to Obtain Level of Experience: Senior HI This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 Summary HII-Mission Technologies is seeking an experienced and skilled Military Advisor- Big Data Analytics & Systems Engineer to provide expert guidance and support to our military clients! As a Military Advisor, you will be responsible for providing technical expertise, developing and delivering training programs, and conducting operational assessments. In this role, you will support large-scale data collection, processing, and analysis efforts focused on understanding population sentiment, digital trends, and information environments. The selected candidate will design and implement systems that capture, process, and analyze high-volume data from scraping, collection, and digital monitoring efforts. These insights will support programs designed to build situational awareness of the digital environment, identify emerging trends, and inform strategic messaging, engagement, and influence activities. This role combines data engineering, analytics, and digital environment analysis, requiring both technical expertise and the ability to translate large datasets into actionable insights. Come join our growing team today! *Position: Remote and part time. *Travel: This position requires episodic travel to OCONUS locations, often to remote and challenging environments. Expect deployments lasting several weeks to months at a time. Travel may include locations with limited infrastructure and security concerns. What you will do - Develop and maintain systems to capture and process large-scale datasets from scraping, automated collection, and external data feeds - Design data pipelines that ingest structured and unstructured data at scale - Manage ETL processes to clean, normalize, and integrate multiple data sources - Analyze large datasets to identify population sentiment, behavioral patterns, and digital engagement trends - Apply statistical analysis, machine learning, and natural language processing techniques to extract insights from text and social media data - Monitor shifts in online discourse and emerging narratives - Design and implement scalable big data architectures to support large analytical programs - Integrate data systems into platforms used for digital awareness and influence analysis programs - Ensure systems support high-volume processing and rapid analytical outputs - Translate complex datasets into actionable insights for program planners and decision makers - Develop dashboards, visualizations, and analytical reports - Support program efforts aimed at understanding information flows, messaging effectiveness, and audience behavior - Additional duties as assigned or required What we are looking for - 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience - Experience with large-scale data analytics and distributed data systems - Strong proficiency in Python and SQL - Experience working with large datasets from scraping, APIs, or automated collection systems - Experience designing data pipelines and big data processing workflows - Strong communication skills to translate analytics into operational insights - Excellent presentation and interpersonal skills - Ability to work effectively in a fast-paced, dynamic environment - Willingness to deploy up to 50% of the time as required by mission needs - Clearance: Must be able to obtain and maintain a Secret clearance Bonus points for... - Instructor experience with a proven ability to design, develop, and deliver effective technical training programs - Strong foundation in computer engineering principles, including systems architecture, data structures, and computational methods - Able to translate AI/ML outputs into clear insights for technical and non technical audiences - Hands on experience applying natural language processing (NLP) techniques to large text datasets for classification, clustering, summarization, and trend detection - Ability to identify patterns and insights in large, noisy datasets using statistical and machine learning approaches - Understanding of digital ecosystems, online behavioral trends, and information environment dynamics - Experience building analytical tools and pipelines for monitoring, modeling, and assessing complex information environments - Experience with social media analytics, sentiment analysis, and digital platform data signals - Experience with machine learning techniques such as supervised/unsupervised learning, anomaly detection, feature engineering, and model evaluation - Experience with web scraping frameworks and large scale data collection systems for real time or batch processing - Familiarity with distributed data environments and big data frameworks such as Spark, Hadoop, and Kafka Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. HII is more than a job - it’s an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Job Description: Saab, Inc. is seeking a dynamic, results-oriented Configuration Data Manager to join our team in Syracuse, New York. This role requires proven experience implementing Configuration Management (CM) principles and best practices derived from EIA-649, EIA-649-1, MIL-HDBK-61B. We emphasize process excellence, compliance, and continuous improvement within all aspects of the CM process. Reporting to the Manager of Configuration Management, you will have an immediate impact ensuring contract and process compliance utilizing tools that support documentation and software release processes. The Senior Configuration Data Manager will support multiple Saab business units by integrating with program teams to maintain data structures and perform data and document deliverables. This position may be remote, hybrid, or onsite at our Syracuse, NY office. Some travel may be required to support customer audits. Responsibilities Include: - Acting as the primary point of contact for program technical data coordinating data deliveries in accordance with Saab standards and program requirements - Ensuring standards for quality are maintained and that content creators apply correct data identification and marking, follow review and release procedures - Representing the Configuration Management Organization on assigned program teams, attending meetings as required - Proactively identifying and resolving errors to ensure accuracy and on time delivery - Building deliverable software; identifying, documenting, tracking, structuring and maintaining software databases; tracking related documents and other items - Participation in internal audits to ensure compliance with AS9100, ISO 9001, and company-specific QMS requirements. - Requirements analysis for proposals, costing, CM planning - Performing data entry, manipulating/analyzing data, transmitting data via FTP and other means - Performing status accounting and reporting, auditing processes and data libraries - Contributing to Functional and Physical Configuration Audits (FCA, PCA) - Utilizing defect tracking and version control systems - Proactively defining and implementing tasks for self and others - Training or mentoring CM and other professionals ensuring knowledge transfer and skill development Typical Salary Range: $80,900 - $101,100 for our Syracuse, NY, New York Remote, Orlando, FL, Remote Florida, Remote Arizona locations. $97,000 - $121,300 for our Washington, DC Remote, Quincy, MA, locations. The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Experience and Skills: - BA/BS degree - 8+ years of relevant experience with working knowledge of Configuration Data Management processes OR - MA/MS degree - 6+ years of relevant experience within aerospace and defense industries Required Skills: - Proven Configuration Data Management experience - Working knowledge of EIA-649, EIA-649-1, MIL-HDBK-61B, ITAR, DFARS, and NIST 800-171. - Exceptional attention to detail, troubleshooting, and problem-solving skills - Excellent verbal and written communication skills - Familiarity with data libraries, version control systems, and controlled document workflows - Ability to multi-task, set priorities, and manage time responsibly - Capable of working without direct guidance or direction - Experience using Subversion (SVN) - Experience with Adobe Acrobat or equivalent Desired Skills: - Configuration or Data Management Certification - Experience with at least one PLM (Teamcenter, Enovia, 3DExperience, Windchill) - Experience using the Atlassian JIRA/Confluence/Crucible tool sets - Experience with Unix, and/or Linux Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: - Medical, vision, and dental insurance for employees and dependents - Generous paid time off, including 8 designated holidays - 401(k) with employer contributions - Tuition assistance and student loan assistance - Wellness and employee assistance resources - Employee stock purchase opportunities - Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person’s needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.