Data Engineer Expert

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