Data Engineer

Peraton

$135K — $216K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years relevant experience with a BS/BA; 6+ years with MS/MA; 3+ years with PhD
  • Proficiency in Python, SQL, and 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 and DoD TS clearance eligibility

Responsibilities

  • Design and implement ETL workflows using Airflow, NiFi, or similar tools
  • Develop data transformation logic to ensure 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

Benefits

  • Opportunity to work in cybersecurity for the Department of Defense
  • Engagement with cutting-edge technology and data solutions
  • Focus on defensive cyberspace operations and AI/ML security
  • Collaboration with a specialized Analytic Development Team
  • Contributions to national security initiatives
Full Job Description
Responsibilities

Peraton 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, Clickjacking) 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
Target Salary Range$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

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