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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Integration & Data Pipeline Engineer - **Company:** CACI International Inc. - **Location:** Suitland-Silver Hill, MD, United States - **Experience:** Expert - **Salary:** $103,800.0 - $218,100.0 - **Contract:** Permanent contract - **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Systems Engineering, Automation of Tests, CompTIA Security+, Information Systems, Databases, System Configuration, Information Engineering, Data Files, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Structures, Home Automation, Systems Analysis, Machine Learning, Machine Translation, Metadata, Software Engineering, Systems Integration, Data Storage Technologies, Delivery Pipeline, Backend, Information Technology, Data Lineage, Data Management, Data Pipelines, Legacy Systems - **Published:** August 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/systems-data-engineering-and-integrator-suitland-md--5da43b49-8b0d-401f-88f3-8ad35e46140c ## About the Role * Active TS/SCI Clearance : A current, verifiable DoD TS/SCI clearance is required prior to onboarding. * Education : Bachelor's degree in an engineering or technical discipline such as Computer Science, Systems Engineering, Data Engineering, Software Engineering, or Information Systems. * Experience : At least 5 years of hands-on experience in data engineering, backend development, or systems integration-preferably within DoD or Intelligence Community environments. * Analytical Strength : Proven ability to analyze complex data ecosystems, assess infrastructure dependencies, and provide structured technical insights to cross-functional teams. * Collaboration Skills : Demonstrated success partnering with Data Scientists, analysts, or AI/ML practitioners to deliver production-ready, high-quality data structures. * Certification : Current CompTIA Security+ CE or higher DoD 8570 IAT Level II certification., Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), CompTIA - Computing Technology Industry Association, CompTIA Security+, Computer Science, Data Analysis, Data Management, Data Quality, Data Science, Data Sets, Data Storage, Data Structures, Database Extract Transform and Load (ETL), Diving, DoD Directive 8140, DoD Directive 8570, Ecosystems, Federal Contracts, Federal Government, Government Contracts, Home Automation, IAT - Information Assurance Technical, Information Technology & Information Systems, Integrated Circuits (ICs), Intelligence Community, Machine Learning, Machine Tool, Machine Translation, Metadata, Quality Metrics, Safety/Work Safety, Scorecarding, Sensitive Compartmented Information (SCI), Software Engineering, System Integration (SI), Systems Analysis, Systems Engineering, Team Player, Technical/Engineering Design, Test Automation, Top Secret Clearance, Training Data Sets, United States Department of Defense (DoD), Willing to ## Description Job Title: Systems Data Engineering and IntegratorJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Local* * * The OpportunityAre you an engineer who thrives on building secure, automated pipelines-and who enjoys diving deep into data to uncover patterns, gaps, and opportunities for improvement? CACI is seeking a highly motivated Systems Integration & Data Pipeline Engineer with an active TS/SCI clearance to support a flagship data-modernization and AI/ML-enablement effort within the Department of Defense (DoD) and Intelligence Community (IC). In this hybrid engineering and analytical role, you will design and deploy modern data pipelines, transform static datasets into AI-ready assets, and build automated quality-readiness scorecards that drive mission-critical decisions. You will assess full data lifecycles, identify performance and lineage gaps, and collaborate directly with Data Scientists to ensure data is optimized for high-value AI/ML workloads. This position requires 100% onsite work in a secure facility, with approximately 10% local travel to customer locations., * Build and Optimize Modern Data Pipelines : Design, engineer, test, and maintain automated ETL/ELT pipelines that transition data from siloed legacy systems into secure, scalable, high-performance environments. * Conduct End-to-End Systems Analysis : Evaluate the full data journey-from ingestion to consumption-identifying performance bottlenecks, lineage gaps, and infrastructure constraints. Deliver clear engineering recommendations that strengthen reliability and throughput. * Collaborate Directly With Data Scientists : Translate analytical and machine learning requirements into pipeline and system enhancements. Shape the data environments that fuel next-generation AI/ML models. * Implement Automated Data Quality Gateways : Develop code-driven readiness gates that enforce strict data quality standards, including Accuracy, Completeness, Consistency, Timeliness, and Validity. * Support AI/ML Tooling and Infrastructure : Build data storage, orchestration, and feature-generation pipelines that prepare datasets for training, testing, and deploying advanced ML models. * Integrate Systems and Modernize Platforms : Develop APIs, connectors, orchestration processes, and system-to-system integrations that unify previously disconnected platforms into a cohesive, self-service data ecosystem. * Enforce IC and DoW Data Standards : Implement schemas, metadata tagging strategies, and automated formatting rules to ensure all ingested data complies with Intelligence Community and Department of War specifications. * Document Technical Architecture and Flows : Create clean, version-controlled documentation covering pipeline architecture, system configurations, API mappings, and data lineage diagrams. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Why make use of an integration platform in today's software developments and infrastructure?](https://www.wearedevelopers.com/videos/758-why-make-use-of-an-integration-platform-in-today-s-software-developments-and-infrastructure) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Securing Your Web Application Pipeline From Intruders](https://www.wearedevelopers.com/videos/53-securing-your-web-application-pipeline-from-intruders) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)