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ClearanceJobs.com | Peraton
Data Engineer
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Based on Maryland data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$112,698 / year median in Maryland
+11% projected growth
Job Description
Data Engineer
About PeratonPeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton to learn how we're keeping people around the world safe and secure.
About The RolePeraton seeks a Data Engineer to support Department of Defense Cyber Defense Command (DCDC) with defensive cyberspace operations and AI/ML security support.
About The RolePeraton seeks a Data Engineer to support Department of Defense Cyber Defense Command (DCDC) with defensive cyberspace operations and AI/ML security support.
Location:
Fort Meade, MD.In this role, you will design and implement data infrastructure, pipelines, and integration solutions to support DCDC analytic capabilities within Caspian and JCRS-D environments. You will operate as part of the Analytic Development Team.Primary Responsibilities:
- Design and implement ETL workflows using Airflow, NiFi, or similar
- Develop data transformation logic for schema compliance
- Integrate data from IoT streams, APIs, and legacy systems
- Implement data validation and quality checks
- Optimize pipeline performance and reliability
- Maintain data lineage tracking and documentation Qualifications
Required Qualifications:
- Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
- Proficiency in Python, SQL, Scala
- Experience with Spark, Kafka, and Hadoop ecosystem
- Knowledge of data modeling and warehousing
- Understanding of streaming architectures
- Experience with cloud data services
- U.S Citizenship required
- DoD TS with ability to obtain/maintain SCI clearance
Preferred Qualifications:
- Cloud platform certifications preferred
- 5-8 years of specific experience
- Bachelor's degree in Computer Science, Data Engineering, or related field
- Extensive experience with React 18/19 best practices to refactor legacy React 16 code. Strong foundational skills in HTML, CSS, JavaScript, and TypeScript.
- Strong understanding of common web vulnerabilities (XSS, Injection, DoS, ReDoS, jacking) to ensure security compliance during refactoring
- Experience using Flux CD and Kubernetes to deploy applications, and using GitLab for security pipelines
- Experience with Node.js and Express
- Experience with MarkLogic, specifically utilizing xQuery to search, query, and manage database data Details