Data Engineer (Security Clearance Needed)
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Summary
Data engineer supporting cyber/network operations in a cleared (DoD) environment, designing and building ETL pipelines and data ingestion frameworks. Core stack includes Python, Java, Kafka, NiFi, Airflow, Kubernetes/Docker, and AWS (S3, SQS); 9+ years of experience, an active security clearance, and DoD 8570 IAT II certification are required.
Data Engineer requires:
- Familiarity with Python, with experience in unit and integration testing.
- Experience supporting cyber or network operations environments
- Familiarity with Agile development environments
- Experience with Kubernetes, Docker, or containerized deployments
- Exposure to Apache Airflow
- Strong documentation and communication skills
- NEEDS SECURITY CLEARANCE
- At least 9 years experience, but 14+ years of experience is preferred in data engineering, software engineering, or related technical fields and a Bachelors in a related field. (Additional experience may be considered in lieu of a degree)
- Strong experience designing and building ETL pipelines and data ingestion frameworks
- Hands-on experience with Kafka, NiFi, and AWS (S3, SQS)
- Proficiency in Java with experience in unit and integration testing
- Solid understanding of data formats (JSON, XML, SQL schemas, compressed formats)
- Experience troubleshooting data pipelines, system performance, and dataflow issues
- DoD 8570 IAT II certification (or higher)