Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Data Engineer | Government Security Clearance Required | Full-time/Permanent Role | IAT Certificatio
Job
Dice.com
Remote
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
82
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Data Engineer | Government Security Clearance Required | Full-time/Permanent Role | IAT Certificatio
Skills
- Data Engineering
- ETL pipelines and data ingestion frameworks
- Kafka
- NiFi
- and AWS (S3
- SQS)
- Java
- data pipelines
- system performance
- and dataflow issues
- SummaryDoD 8570 IAT II certification (or higher) required
Role:
Data EngineerLocation:
Columbia, MD or San Antonio, TX•HybridJob Type:
Full-time /PermanentExperience:
12+ YearsRequired Qualifications- A current U.S. Government Security Clearance is not required at start. but candidate should be "clearable". Candidates with a current Security Clearance are preferred.
- 12+ years of experience in data engineering, software engineering, or related technical fields and a Bachelor's Degree 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)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 membersLeadership OpportunityThis 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