Data Engineer Expert

VT Group (VTG); Herndon (VA); On-site; USD 140,000 - 210,000; Full time

Job summary

VT Group (VTG) seeks an experienced Data Engineer to design and implement scalable data architectures, data warehouses, and data lakes across multi-source environments for mission-focused operations.

You will develop automated data pipelines, govern data standards, and enable secure analytics with tools like NiFi, Cribl, and Splunk, in a secure, multi-enclave environment.

Qualifications

• 11+ years of experience as a Data Engineer or Systems Engineer in data environments.
• Experience integrating diverse data streams in complex enterprise architectures, across multi-source sources.
• Strong Python programming and scripting for data processing and automation.
• Familiarity with data ingestion and transfer tools such as NiFi or Cribl.

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 NiFi, Cribl, or similar platforms
• Analyze complex system, network, and log data across enterprise environments
• Develop and enforce data standards, governance frameworks, and best practices
• Manage, monitor, and troubleshoot data feeds to ensure pipeline reliability
• Leverage Splunk to support data analysis and operational insights
• Enable secure data access for consumers in cyber/operational analytics
• Collaborate with stakeholders across security enclaves to design scalable data solutions
• Ensure data solutions meet security, compliance, and operational requirements

Skills

Python

Data pipelines

ETL/ELT

Data modeling

Data warehouses

Data lakes

NiFi

Cribl

Splunk

Security/compliance

Education

Bachelor's degree in IT or Engineering

Master's degree preferred

Tools

NiFi

Cribl

Splunk

AWS

Azure

Job description

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