AWS Data Automation Engineer

About the role

Located in Arlington, VA, this position requires an active Top Secret security clearance. Node supports a U.S. Government customer providing on‑site incident response to civilian government agencies and critical asset owners experiencing cyber‑attacks, delivering immediate investigation and resolution. Contract personnel characterize breach severity, develop mitigation plans, and assist with service restoration. Node is seeking an AWS Data Automation Engineer to develop and implement automation solutions for technology integration, focusing on data pipeline development, automated analysis workflows, and integration automation to eliminate manual workflow pain points and scale technology capabilities.

Responsibilities

• Develop automated data pipelines for technology integration initiatives
• Create automation workflows for malware sample collection, detonation, and taxonomy
• Implement data integration automation between pilot and production systems
• Support Automated Malware Analysis (AMA) platform development and enhancement
• Develop scripts and tools to automate repetitive technical tasks
• Create data transformation and normalization automation
• Support AI/ML data preparation and feature engineering automation
• Develop monitoring and alerting automation for integrated systems
• Implement API integrations for data sharing and workflow automation
• Document automation solutions and maintain code repositories
• Support scaling automation from pilot to production environments
• Optimize automation performance and efficiency
• Collaborate with analysts to identify automation opportunities
• Ensure automation solutions maintain data quality and integrity
• Support continuous improvement of automated capabilities

Requirements

• U.S. Citizenship
• Active Secret clearance; TS/SCI preferred
• Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
• 5+ years of experience in automation engineering, data engineering, or software development
• Subject matter expertise of core AWS components including VPCs, EC2, EKS, IAM, SQS, SNS, Lambda, and Route 53
• Experience with data ingestion pipeline design on AWS
• Experience with S3 data storage architecture and schema design for analytic workflows
• Strong programming skills in Python, with experience in data manipulation libraries
• Experience developing data pipelines and ETL