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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer Expert - **Company:** VTG LLC - **Location:** Herndon, VA, United States - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Amazon Web Services, Data Analysis, Systems Engineering, Microsoft Azure, Cloud Computing Security, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Python (Programming Language), Network Security, Ansible, Shell Script, Data Streaming, Systems Integration, Unstructured Data, Enterprise Data Management, Data Processing, Scripting, Data Ingestion, HybridCloud, Data Lakes, Infrastructure Automation Frameworks, Information Technology, Data Analytics, Apache Nifi, Tools for Reporting, Splunk, Data Pipelines - **Published:** October 16, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-expert-herndon-va--3578ef08-5155-40d6-a5dc-71c132874638 ## About the Role * 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 ## Description OverviewWe 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 architecturesBuild and automate ETL/ELT pipelines to integrate structured and unstructured data from multiple sourcesIntegrate and manage diverse data streams using tools such as NiFi, Cribl, or similar platformsAnalyze complex system, network, and log data across heterogeneous enterprise environmentsDevelop and enforce data standards, governance frameworks, and best practices for enterprise data managementManage, monitor, and troubleshoot data feeds to ensure reliability, integrity, and performance of data pipelinesLeverage Splunk and similar platforms to support data analysis, monitoring, and operational insightsSupport data-driven cyber and operational analytics by enabling secure and efficient data access for consumersCollaborate with stakeholders across security enclaves to design and implement scalable data solutionsEnsure data solutions meet security, compliance, and operational requirements across enterprise environmentsDo you have what it takes?Must have a Top Secret Clearance with PolygraphBachelor's or Master's degree in Information Technology, Engineering, or related field preferredMinimum of 11 years of experience as a Data Engineer or Systems Engineer supporting data environmentsExperience integrating diverse data streams in complex enterprise architecturesExperience with data ingestion and transfer tools such as NiFi, Cribl, or similar platformsStrong experience analyzing system, network, and log data from multiple operating systems and sourcesExperience working in multi-enclave or segmented secure network environmentsStrong Python programming and scripting experience for data processing and automationExperience managing and troubleshooting enterprise data pipelines and feedsFamiliarity with Splunk or other log aggregation and analytics toolsPreferred Qualifications:Experience with SecDevOps principles and practicesHands-on experience with Splunk, including certificationsExperience with scripting and automation tools such as Python, Shell scripting, or AnsibleExperience implementing cloud security controls in AWS, Azure, or hybrid environmentsExperience working across public, private, and hybrid cloud environmentsAWS Certified Security - Specialty certification preferred