Dataflow Engineer

Location: Laurel, MD, US

Department: Systems/Software Engineering - IT

Work Location: onsite

Job Title: Dataflow Engineer

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: None

Type of Travel: None

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The Opportunity

CACI is seeking a Dataflow Engineer to support our Research organization by delivering services that help teams securely process, analyze, and use critical intelligence data. This role is ideal for a problem solver who enjoys collaborating, automating complex dataflows, and building reliable solutions through scripting and workflow design.

Responsibilities:

• Design, develop, and maintain scalable, dependable, and sustainable data pipelines.

• Troubleshoot and resolve complex dataflow issues using data engineering, system administration, and Apache NiFi workflow expertise.

• Improve data processing efficiency and reliability through automation, scripting, and thoughtful architectural decisions.

• Support a secure and controlled environment for intelligence data throughout its lifecycle.

Qualifications:

Required:

• Active TS/SCI w/ Polygraph

• 7+ years of experience as a software engineer

• Bachelor’s degree in Computer Science or a related field.

  • In lieu of a bachelor’s degree, an additional 4+ years of experience is required.

• Proven experience with Apache NiFi, including data provenance and lineage tracking.

• Strong operational and DevOps skills, including experience with the Linux command line.

• Experience versioning flows (such as with NiFi Registry) and integrating them into deployment pipelines.

• Proficiency in scripting or programming languages such as Python (preferred), Bash, or similar—especially for automation and data manipulation.

• Strong domain knowledge, including understanding of dataflow architecture; expert familiarity with RAFT, SOTF, CSDF, and ASDF data formats; and a solid understanding of intelligence data collection and lifecycle.

Desired:

• Experience in inference engineering.

• Background in deploying, managing, and optimizing systems that deliver AI models to users through APIs or integrated applications.

• Familiarity with GPU/TPU utilization, containerized deployments (such as Kubernetes), and hybrid or edge computing environments designed for efficient inference.

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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:

$113,200 - $237,800