Software Engineer, Advanced Dataflow and Analytics - Fully Cleared
About The Position
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. Schedule and Work Details Location: NBP 140 Schedule: Full-time, mission-aligned hours Telework: Not available Clearance: Active Top Secret Clearance with Full Scope Polygraph required Here’s What Your Day-to-Day Might Include 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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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.
Benefits
- Ample PTO to rest and recharge—plus all federal holidays and your birthday off, just because.
- Multiple medical plan options, including ones with zero deductible or premium for employees.
- Generous 401(k) with immediate vesting—because your future matters now.
- Exciting bonus opportunities, from profit sharing to quarterly awards and President’s Club recognition.
- A culture of collaboration, connection, and fun, with regular team activities that go beyond the work.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
