Responsibilities:

• Design, build, and maintain robust end-to-end data pipelines to support data collection, integration, transformation, and storage across multiple enterprise sources

• Develop and manage scalable data architectures, including raw, staging, curated, and reporting-ready layers

• Create trusted, reusable datasets and data structures that improve reporting consistency, dashboard performance, and analytics consumption

• Implement data quality controls, validation checks, monitoring, and alerting to detect schema changes, incomplete loads, freshness issues, and other data integrity risks

• Troubleshoot complex data issues across ingestion, transformation, and reporting workflows, identifying root causes and restoring trusted outputs

• Design safe and reliable data publishing patterns, including staging-to-swap deployments, rerunnable processes, idempotent loads, and backfill strategies

• Partner with reporting and analytics stakeholders to prepare and optimize data structures for advanced analytics, machine learning, and visualizations

• Lead cross-functional data initiatives that improve visibility, reduce manual effort, and strengthen data trust across operational workflows

• Conceptualize and implement data products, standards, and processes that enable future decision-support capabilities

• Stay current on advancements in data engineering, analytics architecture, data quality practices, and applied analytics methods

You’ll Bring These Qualifications:

Required:

• Must possess an active TS/SCI clearance with polygraph OR have an active TS/SCI clearance with ability to obtain a polygraph prior to start

• Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, information systems, or a related field

• 10+ years of related work experience as a Data Engineer, Analytics Engineer, Data Scientist, or similar role

• Must hold a current DoD 8570 IAT Level II certification (e.g., Security+ CE)

• Proficient understanding of data governance, access control, and security best practices in regulated or sensitive environments

• Proven proficiency in Python and SQL for data manipulation, pipeline development, data validation, and analytics support

• Extensive hands-on experience designing and maintaining scalable data architectures, databases, and automated data engineering workflows

• Strong experience with database platforms, including schema design, performance optimization, views/materialized views, and data modeling

• Proven ability to investigate complex data issues, perform root-cause analysis, and implement sustainable corrective actions

• Experience developing technical standards, improving workflow reliability, and communicating technical issues and recommendations to leadership and stakeholders

Desired:

• Active TS/SCI clearance with polygraph

• Advanced degree (Master’s or Ph.D.) in a highly quantitative, technical, or engineering field

• Experience mentoring and directing junior/mid-level data analysts and engineers

• Familiarity working alongside Business Intelligence SMEs, preparing and formatting optimal data structures for machine learning and visualization tools like Tableau

• Exceptional ability to work with high latitude and independence, successfully managing multiple high-visibility projects simultaneously

Pay Range:

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.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: