Data Engineer

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)