Systems Data Engineering and Integrator

The Opportunity
Are you an engineer who thrives on building secure automated pipelinesand 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 datamodernization and AI/MLenablement 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 AIready assets and build automated qualityreadiness scorecards that drive missioncritical decisions. You will assess full data lifecycles identify performance and lineage gaps and collaborate directly with Data Scientists to ensure data is optimized for highvalue AI/ML workloads.

This position requires 100% onsite work in a secure facility with approximately 10% local travel to customer locations.

Key Responsibilities

• 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 highperformance environments.

• Conduct End-to-End Systems Analysis : Evaluate the full data journeyfrom ingestion to consumptionidentifying 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 nextgeneration AI/ML models.

• Implement Automated Data Quality Gateways : Develop codedriven 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 featuregeneration pipelines that prepare datasets for training testing and deploying advanced ML models.

• Integrate Systems and Modernize Platforms : Develop APIs connectors orchestration processes and systemtosystem integrations that unify previously disconnected platforms into a cohesive selfservice 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 versioncontrolled documentation covering pipeline architecture system configurations API mappings and data lineage diagrams.

Required Qualifications

• Active TS/SCI Clearance : A current verifiable DoD TS/SCI clearance is required prior to onboarding.

• Education : Bachelors 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 handson experience in data engineering backend development or systems integrationpreferably within DoD or Intelligence Community environments.

• Analytical Strength : Proven ability to analyze complex data ecosystems assess infrastructure dependencies and provide structured technical insights to crossfunctional teams.

• Collaboration Skills : Demonstrated success partnering with Data Scientists analysts or AI/ML practitioners to deliver productionready highquality data structures.

• Certification : Current CompTIA Security CE or higher DoD 8570 IAT Level II certification.