Назад
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8 часов назад

Sr. Threat Detection & Automation Engineer (Data Engineering)

130 800 - 196 200$
Формат работы
hybrid
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

Текст:
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TL;DR
Sr. Threat Detection & Automation Engineer (Data Engineering): Building scalable data pipelines, cloud data lake architectures, and security automation tools for data-driven cybersecurity operations with an accent on Python, SQL, ETL/ELT, AWS, and security integrations. Focus on designing reliable data platforms, optimizing pipeline performance, developing SOAR playbooks, and automating workflows across security teams.

Location: Milwaukee, WI Corporate; hybrid

Salary: $130,800–$196,200 per year

Company

hirify.global provides financial services with a focus on clients' interests and cybersecurity operations.

What you will do

  • Design, build, and maintain scalable data pipelines, datasets, analytics products, and data lake architectures.
  • Develop enterprise ETL/ELT processes, transformation frameworks, integrations, and data governance practices.
  • Optimize pipelines for performance, reliability, data quality, lineage, and integrity across structured and unstructured sources.
  • Automate cybersecurity workflows through SOAR playbooks and Kubernetes- or cloud-hosted pipelines.
  • Build automation tools primarily with Python and PowerShell, integrate security tools and APIs, and support dashboards, metrics, and monitoring alerts.
  • Partner with data scientists, analysts, engineers, and stakeholders while mentoring junior team members.

Requirements

  • 5+ years of professional development experience with Python and SQL.
  • 5+ years of experience building batch or streaming data pipelines and applying data governance practices.
  • Strong knowledge of database structures, data modeling, ETL/ELT design, data integration, replication, event streaming, and pipeline tuning.
  • Experience with cloud data engineering, AWS services, modern data warehouses, and large-scale data platforms.
  • Experience with security automation, REST APIs, CI/CD environments, and tools such as GitLab, Terraform, Ansible, or Kubernetes.
  • Strong written and verbal communication skills, including communication with technical and non-technical audiences.

Nice to have

  • Bachelor's degree in computer science, cybersecurity, data engineering, software engineering, or a related field.
  • Databricks or relevant AWS and Databricks data engineering certifications.
  • Experience with SOAR, SIEM, ServiceNow, security operations, incident response, penetration testing, or network and systems administration.
  • Experience with PowerShell, Bash, JavaScript, API calls, regular expressions, Java, C++, or Go.
  • Knowledge of firewalls, IDS/IPS, EDR, IAM principles, and related security technologies.

Culture & Benefits

  • Hybrid work arrangement in the Milwaukee corporate location.
  • Compensation is based on skills, experience, market conditions, candidate location, and other hiring factors.
  • Geographic-specific pay structures and compensation may apply in California, New York City, and other eligible locations.
  • Equal opportunity workplace committed to inclusion, creative ideas, professional challenges, and leadership.

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