At Intelliforce, we build software that helps mission systems move, process, and act on data at scale. In this role, you will bring deep expertise in dataflow design, data transport, and Apache Spark-based distributed processing to support analytics workloads that need to be fast, reliable, and built to last. You will design and optimize data ingress and egress pathways, improve how data moves across the environment, and help ensure mission analytics stay efficient, scalable, and ready for real-world demand. What Makes This Opportunity Stand Out This role sits at the heart of mission analytics. You will work on the engineering challenges that determine whether critical data arrives where it needs to go, in the form it needs to be in, and at the speed the mission requires. The work blends dataflow engineering, distributed processing, workflow orchestration, and software development, giving you the chance to shape both system performance and long-term scalability. At Intelliforce, your work is visible and your technical judgment matters. Because we support prime programs, our teams stay close to meaningful mission work with real momentum. Because we are a small business, leadership is accessible, communication is direct, and strong engineering gets noticed. Add in long-term stability, strong benefits, and a people-first culture, and this becomes more than another software role. It is a chance to build high-impact data capabilities that power mission analytics every day.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees