Systems Integration & Data Pipeline Engineer

CACI International Inc.
Suitland-Silver Hill, MD, United States
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$103,800.0 - $218,100.0
Working hours
Regular working hours

Tech stack

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
+20 more
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

Job 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.

Requirements

  • 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

Benefits & conditions

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is: $103,800 - $218,100 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

About the company

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose - to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation’s most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy., CACI provides information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. A member of the Fortune 1000 Largest Companies, the Russell 2000 Index, and the S&P SmallCap 600 Index, CACI provides dynamic careers for over 15,800 employees working in over 120 offices worldwide. Visit www.caci.com.

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