8 часов назад
Sr. Threat Detection & Automation Engineer (Data Engineering)
130 800 - 196 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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