Jobs · Engineering · Virginia

AWS Data Automation Engineer

Node.Digital LLC · Arlington, VA · 4 days ago
On-siteEngineeringFull-time

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
  • Create scripts and tools to automate repetitive technical tasks
  • Develop 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 processes
  • Knowledge of automation frameworks and orchestration tools
  • Experience with APIs and integration technologies
  • Understanding of database systems and data modeling
  • Familiarity with version control (Git) and CI/CD practices
  • Strong problem-solving and analytical skills
  • Excellent documentation and communication abilities

Desired Skills

  • Experience with malware analysis automation or cybersecurity tools
  • Experience with AWS support service configurations (AWS Budget, EMR, Kinesis, GuardDuty, Cloudwatch, OpsWorks)
  • 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, Hadoop)
  • Experience supporting federal cybersecurity programs

Benefits

  • Competitive compensation and benefits packages
  • Medical, Dental, Vision
  • Basic Life, Health Savings Account
  • 401K matching
  • Three weeks of PTO/Sick
  • Eleven paid holidays

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