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.

• 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

• 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