Data Engineers

Job Title: Data Engineers

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

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The Opportunity:

Join a team dedicated to advancing national security through innovative irregular warfare and operations expertise. CACI is looking for individuals to join a program that delivers mission-critical advisory, training, and operational support services that help mission partners stay ahead of rapidly evolving global threats. Working across geographic and functional combatant commands, these professionals play a vital role in developing, integrating, and sustaining mission-ready task forces that enhance joint force effectiveness and operational success.

This is an opportunity to contribute to high-impact missions, collaborate with experienced professionals, and support strategic operations that strengthen our nation's defense capabilities around the world. Candidates who thrive in dynamic environments, embrace complex challenges, and are committed to mission excellence will find meaningful opportunities for growth and impact within CACI and on this team.

Opportunities are available at the Journeyman and Senior level.

Responsibilities:

• Enable ingestion, processing, and management of data supporting assessment activities.

• Architect, develop, deploy, and maintain scripts for integration and processing structured and unstructured data into usable data formats for long term storage, search, and analysis, leveraging experience and expertise in data exploration, engineering, and Extract, Transform, Load (ETL).

• Apply computer programming and data engineering concepts and best practice to develop user interfaces, data extraction and transformation to improve data reliability, quality and utility.

• Leverage AWS, Azure, or Google Cloud experience to create custom ingest pipelines to a Big Data platform with consistent performance and scalability

• Manage and organize structured, semi-structured, and unstructured data to include data parsing, transformation, schema definition, and query/analysis.

• Identify trends and inconsistencies that could impact downstream analytics.

• Troubleshoot files against an architecture to identify upload process failure points.

• Conduct and refine unit tests to increase stability to the entire pipeline.

• Develop solutions to coding challenges using tools such as GIT, Anaconda, Spyder, and Microsoft tools.

• Assist data scientists, social scientists, cultural advisors, operations research systems analysts (ORSAs), and Irregular Warfare (IW) planners in translating empirical research findings into operational assessments.

• Ensure data integrity, traceability, and accessibility.

• Enable analytic workflows for assessment teams.

• Coordinate with OIE platform integrators to ensure system compatibility.

Required:

• Bachelor’s degree in computer science, Data Engineering, Information Systems, or related field

• 5+ years of experience in data engineering, ETL/ELT development, or big-data pipeline design

• Must have a DoD TS/SCI Clearnce

• Ability to obtain DoD 8570 IAT Level II certification (e.g., Security+) within 90 days of hire

• Proficiency in Python, Java, or similar languages for data processing and automation

• Hands-on experience with AWS, Azure, or GCP cloud services

• Strong SQL skills and experience with relational + NoSQL databases

• Experience building and maintaining data ingestion pipelines, workflow orchestration, and distributed processing (Spark, Hadoop, etc.)

• Familiarity with Git and modern development environments

• Ability to work with structured, semi-structured, and unstructured data in secure environments

Desired:

• Prior experience supporting DoD, IC, or COCOM-level missions Current Security+, CySA+, CCNA Security, or equivalent DoD 8570 certification Cloud certifications such as AWS Solutions Architect, Azure Data Engineer, or Google Professional Data Engineer

• Experience operating in NIPR/SIPR/JWICS environments or handling classified data workflows

• Familiarity with DevSecOps, DISA STIGs, RMF, or secure cloud architecture best practices

 

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.

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 business success, and find opportunities to break new ground — in your career and in our legacy.

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.

The proposed salary range for this position is:

$78,000 - $163,800