Data Engineer (PRIME Role)

Requirements Required Qualifications A current U.S. Government Security Clearance is not required at start. but candidate should be quot;clearablequot;.nbsp;U.S. Citizenship required. Candidates with Security Clearance is preferred. 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.nbsp;(Additional experience may be considered in lieu of a degree) Strong experience designing and buildingnbsp;ETL pipelines and data ingestion frameworks Hands-on experience withnbsp;Kafka, NiFi, and AWS (S3, SQS) Proficiency innbsp;Javanbsp;with experience in unit and integration testing Solid understanding ofnbsp;data formatsnbsp;(JSON, XML, SQL schemas, compressed formats) Experience troubleshootingnbsp;data pipelines, system performance, and dataflow issues DoD 8570 IAT II certificationnbsp;(or higher) ____________________________________________________________________________________________________________________ Preferred Qualifications Familiarity with Python, with experience in unit and integration testing. Experience supportingnbsp;cyber or network operations environments Familiarity withnbsp;Agile development environments Experience withnbsp;Kubernetes, Docker, or containerized deployments Exposure tonbsp;Apache Airflow Strong documentation and communication skills Experience developing training materials or mentoring team members ____________________________________________________________________________________________________________________

Tech Environment Languages:

nbsp;Java, Python, SQL Data amp;

Streaming:

nbsp;

Kafka, Apache NiFi Cloud:

nbsp;AWS (S3, SQS, SNS)

Tools:

nbsp;

GitLab, Maven, VSCode, IntelliJ, PyCharm Other:

nbsp;YAML configuration, Linux (Bash), data modeling amp; ETL frameworks nbsp; ____________________________________________________________________________________________________________________ Leadership Opportunity This role includesnbsp;technical leadership responsibilities, including: Guiding data engineering strategy and architecture decisions Mentoring engineers and promoting best practices Driving innovation across data ingestion, processing, and analytics capabilities Supporting program growth and long-term technical vision