Node
AWS Data Automation Engineer
Arlington, Virginia, United States
No sponsorshipDetected 13 days ago
TypeScriptPythonNode.jsGitAWSDockerKubernetesCI/CDKafkaMachine LearningSparkAirflowData EngineeringData ScienceAI OrchestrationCybersecurityIncident ResponseEHR/EMRCommunicationProblem SolvingHadoop
About the role
- This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.
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
Requirements
- 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 APIs and integration technologies
- Familiarity with version control (Git) and CI/CD practices
- Ability to translate business requirements into automated solutions
Nice to have
- 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.
- Knowledge of automation frameworks and orchestration tools.
Skills
- Experience with malware analysis automation or cybersecurity tools
- Knowledge of AI/ML pipelines and data preparation
- Experience with workflow orchestration tools (Airflow, Prefect)
- Background in cybersecurity or threat intelligence automation
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of streaming data platforms (Kafka, Kinesis)
- Familiarity with big data technologies (Spark,
Visa & Work Authorization
- AWS Data Automation Engineer Location: Arlington, VA Must have an active Top Secret Security Clearance Node is supporting a U
This listing is sourced directly from Node's careers page and normalized into a canonical job model.