Data Engineer Expert with Security Clearance

VTG; Herndon (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

VTG in Herndon, VA is seeking an experienced Data Engineer to design and implement scalable data architectures, data warehouses, and data lakes, and to build automated data pipelines across secure multi-source environments.

The role requires a Top Secret clearance with polygraph, a BS or MS in IT or Engineering, and 11+ years of data engineering or systems engineering experience. Proficiency in Python and data ingestion tools is essential, with hands-on Splunk experience preferred.

Qualifications

• Requires Top Secret clearance with polygraph.
• Experience with multi-enclave secure environments.
• Strong Python and scripting skills.
• 11+ years in data engineering or systems engineering.

Responsibilities

• Design, develop, maintain scalable data models, data warehouses, and data lake architectures.
• Build and automate ETL/ELT pipelines to integrate data from multiple sources.
• Integrate and manage diverse data streams using NiFi, Cribl, or similar platforms.
• Analyze complex system, network, and log data across enterprise environments.
• Develop data standards, governance frameworks, and best practices for enterprise data management.
• Manage, monitor, and troubleshoot data feeds for reliability and performance.
• Leverage Splunk to support data analysis, monitoring, and operational insights.
• Support data-driven cyber and operational analytics by enabling secure data access.
• Collaborate with stakeholders across security enclaves to design scalable data solutions.
• Ensure data solutions meet security, compliance, and operational requirements across enterprise environments.

Skills

Python programming

Data pipelines

ETL/ELT design

Data modeling

Scripting

Education

Bachelor's or Master's degree in IT/Engineering

Tools

NiFi

Cribl

Splunk

Job description

Overview We are seeking an experienced Data Engineer to support a mission-focused enterprise environment, responsible for designing and implementing scalable data architectures, building data warehouses and data lakes, and developing automated data pipelines across complex, multi-source environments. The ideal candidate will integrate diverse data streams, optimize data flow across secure environments, and enable cyber and operational analytics through reliable, governed, and accessible enterprise data solutions. What will you do?

• Design, develop, and maintain scalable data models, data warehouses, and data lake architectures
• Build and automate ETL/ELT pipelines to integrate structured and unstructured data from multiple sources
• Integrate and manage diverse data streams using tools such as NiFi, Cribl, or similar platforms
• Analyze complex system, network, and log data across heterogeneous enterprise environments
• Develop and enforce data standards, governance frameworks, and best practices for enterprise data management
• Manage, monitor, and troubleshoot data feeds to ensure reliability, integrity, and performance of data pipelines
• Leverage Splunk and similar platforms to support data analysis, monitoring, and operational insights
• Support data-driven cyber and operational analytics by enabling secure and efficient data access for consumers
• Collaborate with stakeholders across security enclaves to design and implement scalable data solutions
• Ensure data solutions meet security, compliance, and operational requirements across enterprise environments Do you have what it takes?
• Must have a Top Secret Clearance with Polygraph
• Bachelor's or Master's degree in Information Technology, Engineering, or related field preferred
• Minimum of 11 years of experience as a Data Engineer or Systems Engineer supporting data environments
• Experience integrating diverse data streams in complex enterprise architectures
• Experience with data ingestion and transfer tools such as NiFi, Cribl, or similar platforms
• Strong experience analyzing system, network, and log data from multiple operating systems and sources
• Experience working in multi-enclave or segmented secure network environments
• Strong Python programming and scripting experience for data processing and automation
• Experience managing and troubleshooting enterprise data pipelines and feeds
• Familiarity with Splunk or other log aggregation and analytics tools Preferred Qualifications:
• Experience with SecDevOps principles and practices
• Hands-on experience with Splunk, including certifications
• Experience with scripting and automation tools such as Python, Shell scripting, or Ansible
• Experience implementing cloud security controls in AWS, Azure, or hybrid environments
• Experience working across public, private, and hybrid cloud environments
• AWS Certified Security - Specialty certification preferred