Data Engineer Expert

VT Group (VTG); Herndon (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

VT Group (VTG) is seeking an experienced Data Engineer to work in Herndon, Virginia. The ideal candidate will design scalable data architectures, build and automate ETL pipelines, and analyze complex log data to support cyber and operational analytics in a secure environment.

Applicants must have a Top Secret Clearance with Polygraph and at least 11 years of experience in data engineering. Familiarity with tools like NiFi and Splunk is essential.

Qualifications

• Must have a Top Secret Clearance with Polygraph.
• Minimum of 11 years of experience in data engineering.
• Strong experience in integrating diverse data streams.

Responsibilities

• Design and maintain scalable data models and architectures.
• Build and automate ETL/ELT pipelines.
• Analyze complex system, network, and log data.

Skills

Data model development

ETL/ELT pipeline automation

Data stream integration

Data analysis

Python programming

Data governance

Education

Bachelor’s or Master’s degree in IT, Engineering, or related field

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