Required Qualifications
- A current U.S. Government Security Clearance is not required at start. but candidate should be "clearable". 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. (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)
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Preferred Qualifications
- 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
- Experience developing training materials or mentoring team members
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Tech Environment
Languages: Java, Python, SQL
Data & Streaming: Kafka, Apache NiFi
Cloud: AWS (S3, SQS, SNS)
Tools: GitLab, Maven, VSCode, IntelliJ, PyCharm
Other: YAML configuration, Linux (Bash), data modeling & ETL frameworks
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Leadership Opportunity
This role includes 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
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