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1 день назад

Data Automation Engineer (Cybersecurity)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Automation Engineer (Python/ETL): Developing and implementing automation solutions for technology integration with an accent on data pipeline development, automated analysis workflows, and API integrations. Focus on scaling technology capabilities from pilot to production and automating malware analysis platforms.

Location: Must be based in Arlington, VA. U.S. Citizenship and Active TS/SCI clearance required.

Company

hirify.global provides advanced cyber, data operations, systems integration, and intelligence mission support services for government and commercial sectors.

What you will do

  • Develop automated data pipelines and ETL processes for technology integration initiatives.
  • Create automation workflows for malware sample collection, detonation, and taxonomy.
  • Implement API integrations for data sharing and workflow automation.
  • Support the development and enhancement of the Automated Malware Analysis (AMA) platform.
  • Develop scripts and tools to automate repetitive technical tasks and data normalization.
  • Optimize automation performance and ensure data quality and integrity.

Requirements

  • U.S. Citizenship and active TS/SCI clearance.
  • 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.
  • Strong programming skills in Python with experience in data manipulation libraries.
  • Experience with APIs, database systems, and data modeling.
  • Familiarity with Git and CI/CD practices.

Nice to have

  • Experience with malware analysis automation or cybersecurity tools.
  • Knowledge of AI/ML pipelines and data preparation.
  • Experience with workflow orchestration tools like Airflow or Prefect.
  • Experience with containerization and orchestration using Docker and Kubernetes.
  • Knowledge of streaming data platforms like Kafka or Kinesis.

Culture & Benefits

  • Collaborative teamwork environment with a focus on innovation.
  • Opportunity to work alongside talented professionals on disruptive technologies.
  • Engagement with critical missions for the intelligence community and defense markets.

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