Software Engineer, Airflow Data PipelinesMake an Impact Where It Matters MostIn 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 OutThis 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.
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
Minimum Qualifications- Clearance: Top Secret Clearance with Full Scope 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
Compensation Range: $155,000.00 - $205,000.00 *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.
- 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.
Ready to grow with purpose? At Intelliforce, your career will flourish in a place where innovation thrives and people come first. Join us-and let's build something meaningful together. You can reach us at [email protected] or schedule a call with our Director of Recruitment, just visit this link to view their calendar:
https://calendly.com/amwolfe-intelliforce-itsg/30min . 
