Data Engineer Expert with Security Clearance

VTG; Herndon (VA); On-site; USD 170,000 - 210,000; Full time

Job summary

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

The role focuses on secure data solutions, data governance, and cyber/operational analytics, requiring Top Secret Clearance with Polygraph, 11+ years in data engineering, and hands-on work with NiFi, Cribl, Python, and Splunk.

Qualifications

• Must have 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 Python programming and scripting experience for data processing and automation.

Responsibilities

• 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

Skills

Data modeling

Data warehouses

Data lakes

ETL/ELT

Data governance

Security awareness

Clearance: TS with Polygraph

Multi-enclave environments

Cyber/operational analytics

Python

Education

Bachelor's or Master's in IT/Engineering

Tools

NiFi

Cribl

Splunk

Python

Shell scripting

Ansible

AWS

Azure

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