AWS Data Automation Engineer

AWS Data Automation Engineer

Frankfurt am Main Vollzeit 60000 - 80000 € / Jahr (geschätzt) Kein Homeoffice möglich
Node Energy

Auf einen Blick

  • Aufgaben: Entwickle automatisierte Datenpipelines und integriere Technologien für kritische Kundenmissionen.
  • Unternehmen: Innovatives Unternehmen, das die U.S. Regierung unterstützt und Cyber-Sicherheit priorisiert.
  • Vorteile: Wettbewerbsfähiges Gehalt, Gesundheitsleistungen, 401K-Matching und drei Wochen Urlaub.
  • Weitere Informationen: Dynamisches Umfeld mit hervorragenden Karrierechancen und Weiterbildungsmöglichkeiten.
  • Warum dieser Job: Gestalte die Zukunft der Cyber-Sicherheit mit intelligenten Automatisierungslösungen.
  • Qualifikationen: Erfahrung in Automatisierungstechnik und fundierte Kenntnisse in AWS erforderlich.

Das prognostizierte Gehalt liegt zwischen 60000 - 80000 € pro Jahr.

  • AWS Data Automation Engineer
  • Must have an active Top Secret Security Clearance

Node is supporting a U.

Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber‑attacks, providing immediate investigation and resolution.

Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services.

Node is seeking an AWS Data Automation Engineer to support this critical customer mission.

The Data Automation Engineer will develop and implement automation solutions to support technology integration activities, focusing on data pipeline development, automated analysis workflows, and integration automation.

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
  • 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

Required Skills

  • 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
  • Ability to translate business requirements into automated solutions
  • 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, Guard Duty, Cloudwatch, Ops Works)
  • 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

Required Education: BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience

Desired Certifications

  • Do D 8140 IAT Level III
  • CSSLP
  • We are proud to offer competitive compensation and benefits packages to include

Benefits

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training
  • #J-18808-Ljbffr

AWS Data Automation Engineer Arbeitgeber: Node Energy

node.energy ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern nicht nur ein sinnstiftendes Arbeitsumfeld bietet, sondern auch flexible Arbeitsbedingungen und eine Remote-First-Kultur. Mit einer strukturierten Einarbeitung, individuellen Weiterbildungsmöglichkeiten und der Chance, aktiv an der Entwicklung des Unternehmens mitzuwirken, fördert node.energy das persönliche Wachstum seiner Mitarbeiter. Zudem sorgt die offene und kollegiale Arbeitsatmosphäre dafür, dass jeder Mitarbeiter in einem innovativen Team von Experten arbeiten kann, um gemeinsam die grüne Energiewende voranzutreiben.

Node Energy

Kontaktdaten:

Node Energy Recruiting-Team

Wir glauben, dass du diese Fähigkeiten brauchst, um AWS Data Automation Engineer mit Bravour zu bestehen

AWS Komponenten (VPCs, EC2, EKS, IAM, SQS, SNS, Lambda, Route 53)
Datenpipeline-Entwicklung auf AWS
S3 Datenarchitektur und Schema-Design für analytische Workflows
Programmierkenntnisse in Python
Datenmanipulationsbibliotheken
ETL-Prozesse
Automatisierungsframeworks und Orchestrierungstools