> Markdown version of [/jobs/ext/4567784-experienced-software-engineer](https://www.wearedevelopers.com/jobs/ext/4567784-experienced-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Experienced Software Engineer - **Company:** Intelliforce-it Solutions Group - **Location:** United States - **Experience:** Experienced - **Salary:** $155,000.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Build Automation, Bash Shell, Directed Acyclic Graph (Directed Graphs), Linux, Distributed Computing Environment, Python (Programming Language), Linux System Administration, Apache Spark, Git, Information Technology, Atlassian Tools, Software Version Control, Data Pipelines, Docker - **Published:** November 4, 2026 - **Apply:** https://www.thejobnetwork.com/job/a312af75-a648-478b-96b8-0cbd8a569c80/experienced-software-engineer ## About the Role * Clearance: Top Secret Clearance with Polygraph, must be active. We do not have the ability to sponsor clearances * Citizenship: Must be a U.S. Citizen. We cannot sponsor visas * This role aligns to Software Engineer (SWE), Level 2 * Master's degree in Computer Science, or related, plus 3 years of SWE experience * Or bachelor's degree in Computer Science, or related, plus 5 years of SWE experience * Or 7 years of SWE experience in programs of similar scope, type, and complexity Required Skills * Linux CLI experience and strong comfort with Linux tools * Bash scripting to automate manual processes * Recent Python and Java development experience * Apache Airflow experience, DAG design, scheduling, operators, sensors * Distributed processing experience with Apache Spark * Container experience with Docker, Podman, or containerd * Git source control experience Desired Skills * Atlassian tools experience, Jira and Confluence * AWS cloud services and infrastructure familiarity ## Description Software Engineer, Airflow Data Pipelines Make an Impact Where It Matters Most At Intelliforce, you build mission software with teams who move fast, communicate clearly, and own outcomes. In this role, you will engineer reliable data workflows that help turn complex data into usable results. The work centers on production-ready automation, strong observability, and clean orchestration patterns that keep mission teams moving with confidence. What Makes This Opportunity Stand Out This role is a strong fit for an engineer who likes building systems that do real work every day. You will design and sustain Apache Airflow workflows, partner with data and platform teams on scalable automation patterns, and strengthen reliability across Linux-based, containerized environments. The work is practical, visible, and tied to mission delivery, with a healthy mix of workflow design, troubleshooting, automation, and performance improvement. At Intelliforce, your work is seen and your input 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 automation and orchestration workflows people rely on. Here's What Your Day-to-Day Could Include * Build and maintain Apache Airflow DAGs for data pipelines and automation * Partner with data engineers and platform teams to design scalable workflow patterns * Harden workflows for reliability, retries, and clear operational visibility * Automate repetitive tasks with Bash and Python * Support containerized execution and deployments across Linux environments * Troubleshoot workflow failures, performance issues, and upstream dependencies * Document pipelines and operating procedures so teams move faster