About NDi: Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply. Job Description: NDi is seeking a Senior Data Warehouse Specialist II to support a federal aviation safety analytics program for the Federal Aviation Administration (FAA). The program supports the Aviation Safety Information Analysis and Sharing (ASIAS) environment, which integrates aviation safety data from multiple government and industry sources to support safety analysis, risk monitoring, and operational decision-making across the National Airspace System. The Senior Data Warehouse Specialist will support the data architecture and analytics platform that powers this environment, including data warehouse maintenance, ETL development, data integration, and analytical data preparation. The role requires strong experience working with complex multi-source datasets and supporting large-scale enterprise data environments. Requirements: - U.S. Citizenship is required - Must be able to obtain a Public Trust clearance. - This position is remote with occasional meetings in Washington D.C. Qualifications and Experience: - Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or a related technical field. - Minimum fifteen (15) years of professional experience in data warehousing, data engineering, or enterprise data analytics environments. - Experience designing and maintaining ETL/data integration pipelines across multiple source systems. - Strong experience with SQL development, relational databases, and data modeling. - Experience working with enterprise data warehouse architectures and analytical data environments. - Experience supporting data quality, metadata management, and data governance practices. - Experience documenting data flows, data mappings, and technical specifications. - Strong analytical skills and ability to work with complex datasets. - Ability to communicate effectively with both technical and non-technical stakeholders. - High attention to detail and commitment to data quality. Preferred Skills and Qualifications: - Experience supporting large federal data or analytics platforms. - Experience with data standardization or taxonomy development initiatives. - Experience supporting analytical systems used for safety, risk, or operational analytics. - Experience working in large multi-source data integration environments. - Familiarity with ETL tools, data warehouse performance optimization, and enterprise data architectures. Responsibilities: - Design, develop, and maintain ETL processes supporting integration of multiple aviation safety data sources. - Support the maintenance and enhancement of the enterprise data warehouse environment. - Develop and maintain data models and analytical datasets supporting safety analytics. - Support integration of new data sources into the analytics platform. - Maintain data standards, metadata, and documentation for the data warehouse environment. - Support data quality validation, transformation logic, and data governance processes. - Document system architecture, data flows, and integration processes. - Support analysts and technical teams in accessing and using integrated safety datasets. - Assist with development of analytical data structures used for safety metrics and reporting. - Collaborate with technical teams to improve data accessibility, performance, and reliability of the analytics environment. Compensation and Benefits: At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job. Veterans First Commitment: As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization. Commitment to Diversity: NDi is an Equal Opportunity Employer. We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran or military status, citizenship, national origin, or any other basis prohibited by law in all phases of the employment process and compliance with applicable federal, state, and local laws and regulations. As a federal government contractor, NDi complies with all applicable affirmative action requirements. Apply Now: Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!

• Lead integration and data migration design, field mapping, desired objectives, and requirements discussions • Establish data migration processes including setup and management of database architecture for data migration • Lead the development of business requirements, specifications, integration flows, data migration strategy & and testing • Organize, lead, and document data migration sessions • Act as liaison between technical teams and client stakeholders to communicate requirements • Assist with configuration and designing of integration solutions on Salesforce • Assist with project management, planning, and coordination of project activities

Role Description This role provides a unique opportunity to lead the modernization of complex data environments, transforming legacy Oracle BI and ODI workflows into optimized, scalable Snowflake solutions. You will work hands-on to redesign data models, implement ELT transformations, and ensure data quality, performance, and maintainability. The position requires deep technical expertise, analytical thinking, and the ability to untangle legacy structures while designing modern, future-proof architectures. You will collaborate closely with cross-functional teams to validate results and support analytics needs. This role is ideal for someone who thrives in complex migration projects, enjoys problem-solving at scale, and takes pride in delivering clean, efficient, and high-performing data systems. The position is fully remote and designed for self-driven professionals who can balance autonomy with collaborative teamwork. - Analyze, interpret, and reverse-engineer existing Oracle Data Integrator (ODI) workflows and legacy data transformation logic - Document and map current data flows, dependencies, and structures to guide modernization - Design Snowflake-optimized data models and ELT patterns for scalable and high-performance solutions - Write efficient SQL queries and implement ELT transformations within Snowflake - Restructure legacy models into maintainable, normalized architectures, cleansing redundant or outdated artifacts - Build modular, testable transformation pipelines using DBT or similar tools - Manage Snowflake development environments, including roles, access control, and governance - Establish validation, reconciliation, and data quality checks to ensure accuracy during migration Qualifications - 5+ years of experience in data engineering or data consulting roles - Strong hands-on expertise with Oracle Data Integrator (ODI) and legacy transformation logic - Deep experience in Snowflake development, including data modeling and performance optimization - Proficiency with SQL and modern ELT/ETL frameworks, including DBT - Strong understanding of data warehousing, normalization, and best practices for scalable architectures - Experience validating data migrations between legacy and modern platforms - Ability to work independently in complex technical environments while collaborating effectively with QA and review teams - Excellent written and verbal communication skills - Must reside in the United States and be authorized to work without sponsorship now or in the future Benefits - Fully remote work with flexible schedules - Opportunities for professional development and sponsored learning - Hands-on experience modernizing large-scale, high-impact data environments - Collaborative, supportive team culture with emphasis on growth and skill-building - Exposure to cutting-edge data platforms and transformation methodologies - Competitive compensation commensurate with experience

• Crear y mantener pipelines de datos, que permitan la ingesta, el almacenamiento y el procesamiento de los datos. • Desarrollar procesos que faciliten la integración de datos provenientes de distintas fuentes (BBDD, archivos, APIs, …). • Mejorar el rendimiento de los pipelines de datos, asegurando una carga y transformación rápida y confiable. • Crear modelos de datos lógicos y físicos (relacionales y dimensionales). • Automatizar los procesos de ingesta y transformación. • Implementar procesos de calidad que garanticen la fiabilidad de la información procesada. • Desarrollar procesos alineados con las buenas prácticas de CI/CD. • Elaborar la documentación técnica correspondiente.