Note: The job is a remote job and is open to candidates in USA. CACI International Inc is seeking a Senior Data Pipeline Engineer to support enterprise data integration and logistics information management across the Indo-Pacific. The role designs, develops, implements, and maintains secure, scalable data pipelines and collaborates with technical and mission stakeholders to deliver trusted data for logistics visibility, analytics, and mission execution.
Responsibilities
- Design, develop, implement, and maintain secure enterprise data pipelines supporting logistics and mission support operations
- Develop Extract, Transform, and Load (ETL/ELT) processes integrating data from Government and commercial information systems
- Design automated workflows supporting data ingestion, transformation, validation, synchronization, and delivery
- Integrate data from logistics systems, asset visibility platforms, transportation management systems, enterprise databases, cloud environments, and operational applications
- Develop data quality rules, validation procedures, monitoring processes, and error handling capabilities to ensure data integrity
- Optimize pipeline performance, database queries, storage utilization, and processing efficiency
- Coordinate with software developers, systems engineers, database administrators, cybersecurity personnel, and business intelligence teams to support enterprise data integration
- Support real-time and near-real-time data feeds supporting operational dashboards, logistics analytics, and executive decision support
- Develop technical documentation, data models, interface specifications, and standard operating procedures
- Monitor pipeline performance, troubleshoot integration issues, and implement corrective actions to maintain operational availability
- Support cloud migration initiatives, enterprise modernization efforts, and digital transformation projects
- Ensure compliance with Government cybersecurity policies, database management standards, data governance requirements, and contractual obligations
- Support operational exercises, contingency operations, and emergent mission requirements requiring rapid data integration capabilities
- Mentor junior database and integration personnel while promoting database engineering best practices and continuous process improvement
- Promote scalable, resilient, and secure enterprise data architectures supporting geographically dispersed operations
Skills
- Active Secret Clearance
- Minimum 8 years of experience supporting database administration, data engineering, ETL development, systems integration, enterprise data management, or information technology engineering for Government or Department of Defense programs
- Experience supporting Department of Defense, Joint, Combatant Command, Service Component, Special Operations organizations, or Intelligence Community activities
- Experience designing and maintaining enterprise data pipelines, ETL/ELT processes, or large-scale database integration solutions
- Experience integrating structured and unstructured data from multiple enterprise systems and cloud environments
- Experience supporting database performance optimization, data validation, data quality management, and enterprise reporting
- Demonstrated ability to prepare technical documentation and brief senior Government leadership on enterprise data architecture, integration strategies, and system performance
- Database Administration, Software Engineering, Information Technology, or a related technical discipline
- Experience supporting USSOCOM, SOCPAC, Geographic Combatant Commands, Joint Task Forces, Defense Information Systems Agency (DISA), or Special Operations organizations
- Experience supporting Indo-Pacific operations, enterprise logistics systems, cloud-based analytics, contested logistics, or digital transformation initiatives
- Experience utilizing SQL Server, Oracle Database, PostgreSQL, Azure Data Factory, Apache Kafka, Apache NiFi, Python, Power BI, Microsoft 365, SharePoint, Azure Government, AWS GovCloud, Databricks, and enterprise data integration platforms
- Knowledge of relational database management systems, ETL/ELT methodologies, API integration, data warehousing, cloud-native architectures, DevSecOps, data governance, and Zero Trust principles
- Experience supporting TS/SCI operations, Special Operations Forces, enterprise logistics analytics, predictive logistics, and resilient data architectures throughout the Indo-Pacific is highly desirable
- Master's Degree in Computer Science, Data Science, Information Systems, Software Engineering, or a related field is highly desirable
- Professional certifications such as Microsoft Certified: Azure Data Engineer Associate, Oracle Database Administrator Professional, AWS Certified Data Engineer, CompTIA DataSys+, Certified Data Management Professional (CDMP), or equivalent database and cloud engineering certifications are preferred
Benefits
- Flexible time off benefit
- Robust learning resources
- Healthcare benefits
- Wellness benefits
- Financial benefits
- Retirement benefits
- Family support benefits
- Continuing education benefits
- Time off benefits
Company Overview