jazzhr
Software Engineer, Airflow Data Pipelines- Fully Cleared
Intelliforce-IT Solutions Group
Maryland, USA
Full-time
Mid · 3+ years experience
Hybrid
USD 155000-205000 yearly / year
Discovered 1 weeks ago
PythonJavaApache AirflowApache SparkLinuxBash
Free
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PythonJavaApache Airflow
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PythonJavaApache AirflowApache SparkLinuxBash
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Schedule and Work Details
- Location: NBP 135 Schedule: 40 hours per week, day shift Telework: Up to 16 hours per week Clearance: Active Top Secret Clearance with Full Scope Polygraph (required). We do not sponsor clearances. Citizenship: Must be a U.S. Citizen. We do not sponsor visas.
- Here’s What Your Day-to-Day Might 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: Active Top Secret Clearance with Full Scope Polygraph (required). Citizenship: Must be a U.S. Citizen.
- Education and Experience 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
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