Data Engineer

Job Title:

Data Engineer Job Category:
Information Technology Time Type:
Full time Minimum Clearance Required to Start:
None Employee Type:
Regular Percentage of

Travel Required:

Up to 10%
Type of Travel:
Continental US*
*
* The Opportunity:

The Data Engineer designs, builds, and sustains the data infrastructure and pipelines that power analytics, reporting, automation, and mission‑critical decision‑making. This role ensures that data is reliably ingested, transformed, governed, and delivered across secure enterprise systems. The Data Engineer partners closely with software engineers, analysts, data scientists, and business stakeholders to provide high‑quality, accessible data that enables operational and strategic outcomes.

Responsibilities:

Assembling large, complex sets of data that meet business requirements from internal and external environments

Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS, SQL, and other technologies

Design, build, and maintain scalable ETL/ELT data pipelines that support analytical, operational, and AI/ML workloads

Develop and maintain data models, schemas, and storage structures optimized for performance and usability

Implement data integration frameworks and APIs to enable secure data movement and interoperability

Collaborate with software engineers, analysts, and data science teams to ensure workflows are well supported

Monitor, troubleshoot, and optimize pipelines, ensuring high availability, data quality, and adherence to governance requirements

Document data architectures, processes, and engineering standards; contribute to continuous improvement within Agile/Dev Ops environments

Operate within compliance, security, and information assurance requirements, particularly in regulated or classified environments

Qualifications:

Required:

Minimum 5 years’ experience as a DBA, Developer, or related field

Commitment to documentation, process improvement, and high quality engineering practices

Understanding of data quality, data lineage, and governance in enterprise environments

Proficiency with at least one programming language used in data engineering (Python, Java, etc.)Proficiency in SQL, data modeling, and ETL/ELT development

Experience building and maintaining data pipelines, integrations, and workflow orchestration in secure environments.

Strong experience working with large, complex datasets across multiple systems

Experience with relational database and data warehouse technologies.

Familiarity with cloud platforms (AWS, Azure, GCP) for data engineering workloads

Ability to collaborate with cross‑functional engineering and analytics teams to resolve technical issues

Desired:

Bachelors or Masters in information systems, computer science, or related field

Experience supporting DoD, Intelligence Community, or other regulated mission environments

Excellent attention to detail

Strong ability to multitask

Strong communication and collaboration skills

Ability to troubleshoot complex data issues-What You Can Expect: A culture of integrity.

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…