Software Engineer, Advanced Dataflow and Analytics - Cleared

Make an Impact Where It Matters Most

At Intelliforce, we support missions where precision, speed, and reliability matter every day. As part of the effort, you will work at the center of operational data flow, helping mission teams transform raw, complex data into trusted, usable intelligence. This role sits squarely within Intelliforce’s core strengths across software engineering, data integration, and mission-focused delivery. You will partner directly with mission customers to design resilient data pipelines that enable insight, scale, and operational confidence.

Location: NBP 140
Schedule: Full-time, mission-aligned hours
Telework: Not available
Clearance: Active Top Secret Clearance with Full Scope Polygraph required

You will design, build, and sustain complex operational data flows that support mission-critical systems. This includes managing data ingestion, transport, transformation, storage, and compliance across distributed environments. You will collaborate closely with mission customers to explore raw data, perform enrichment and transformation, and deliver reliable downstream products. You will continuously assess and improve existing data flow architectures to increase performance, resiliency, and operational reliability.

You may also provide technical leadership, guide best practices, and help shape long-term data engineering strategies.

Clearance: Active Top Secret Clearance with Full Scope Polygraph required
Citizenship: Must be a U.S. Citizen

A Master’s degree in Computer Science or a related discipline plus ten years of relevant software engineering experience
OR
A Bachelor’s degree in Computer Science or a related discipline plus twelve years of relevant software engineering experience
OR
Fourteen years of relevant software engineering experience supporting programs of similar scope, type, and complexity

Strong experience working in Linux environments using the CLI and system tools
Experience writing automation and operational scripts using Bash and Python
Experience designing, implementing, and sustaining Java-based solutions
Hands-on experience administering Apache NiFi, including canvas-based data flow development
Experience creating, managing, and troubleshooting complex operational data flows
Experience supporting data transport, data management, data security, and compliance requirements
Experience working with collaboration and issue tracking tools such as Jira and Confluence

Experience with enterprise or corporate data flow processes and tooling
Familiarity with data security, governance, and compliance procedures
Experience developing and maintaining Perl scripts or applications
Experience improving operational data reliability, scalability, and performance

This role works across Linux-based systems using Bash, Python, Java, and Apache NiFi to design and operate complex data pipelines. The environment includes enterprise data transport and storage platforms, operational analytics workflows, Atlassian collaboration tools, and mission-focused data security and compliance frameworks.

Compensation Range: $ - $

The salary range provided reflects an estimate based on current market trends and may be adjusted based on factors such as the candidate’s experience, skills, and qualifications. The final offer will be tailored after a thorough evaluation of the candidate’s background and suitability for the role. Please note that this range is intended as a guideline and is subject to flexibility.

Because you matter—your work, your growth, and your well-being.

At Intelliforce, we don’t just push the boundaries of technology—we partner with some of the most mission-driven teams in defense and beyond to solve challenges that truly matter. As a Systems Engineer here, you won’t just contribute to projects—you’ll help shape outcomes that make a real-world impact.

We also know that great work starts with a great environment. That’s why we invest in you:

• Ample PTO to rest and recharge—plus all federal holidays and your birthday off, just…