Northwestern Mutual Life Insurance Company logo

Threat Detection Automation Engineer

Northwestern Mutual Life Insurance Company

MILWAUKEE, WIJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
MILWAUKEE, WI
Work Authorization
Not specified

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Job overview

Northwestern Mutual is seeking a Security Automation Engineer with data engineering experience to join its Security Automation & Data Analytics team. The role focuses on building and maintaining automated data pipelines and analytics products that support cybersecurity operations, reduce manual work, and improve efficiency, effectiveness, and accuracy. The engineer will work with security tools, cloud-based data platforms, and stakeholders across the organization.

Skills & qualifications

RequiredNice to have

Skills

SQLPythonData Pipeline DevelopmentData GovernanceData WarehousingLarge-Scale Data PlatformsStructured and Unstructured DataDatabase StructuresData ModelingETL/ELT DesignDatabricks

Qualifications

5+ Years SQL and Python Development5+ Years Data Pipeline Experience

Full job description

JOB REQUIREMENTS: About the Job: We are looking for a highly motivated Security Automation Engineer with experience in Data Engineering to join NM's Security Automation & Data Analytics team. As a member of our team, you will play a pivotal role in designing, building and maintaining continuous and sustainable automated pipelines with the goal of enhancing the efficiency, effectiveness and accuracy of cybersecurity teams' capabilities reducing manual tasks for the IRC teams and enable data-driven cybersecurity operations. This role requires a mix of modern data engineering practices, experience in database structures and tooling, coding, cloud development, and security domain expertise. What You'll Do: Design, develop, and maintain scalable data pipelines, datasets, and analytics products supporting IRC department's reporting and analytics capabilities. Develop and maintain enterprise-ready ETL/ELT processes and data transformation frameworks to support data-driven initiatives. Design, build and support cloud-based data pipelines and data lake architectures using software and data engineering best practices. Ensure data quality, lineage, integrity, and governance standards are implemented throughout the data lifecycle. Optimize and troubleshoot existing data pipelines for performance and reliability, ensuring data quality and integrity across various data sources. Identify opportunities to automate workflows/processes and improve efficiency across cybersecurity teams through SOAR playbooks and Kubernetes-hosted and/or cloud-hosted pipelines. Assist with the design, engineering, deployment, and maintenance of custom automation tools (primarily in Python and PowerShell) Develop integrations with security tools and APIs. Evaluate and implement emerging technologies to improve cybersecurity and analytics capabilities Assist with the development and support of dashboards, metrics, and monitoring alerts related to the team's and the department's operations. Develop and maintain documentation related to the team's automated workflows/products. Partner with data scientists, analysts, engineers, and other stakeholders to identify requirements and deliver high-quality solutions and insights. Provide mentorship and coaching to junior team members, fostering skill development and encouraging continuous learning. What You'll Bring to the Role: 5+ years of professional development experience using SQL and Python. 5+ years of professional experience building data pipelines (batch and/or streaming) and data governance practices. Hands-on experience with modern data warehouses and large-scale data platforms (Databricks Preferred); comfortable working across large-scale, structured and unstructured data. Deep understanding of database structures principles and best practices Deep understanding of data modeling, ETL/ELT design, data engineering... For full info follow application link. EEO/AA Employer/Vets/Disability ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/F4CD8498DA594FE5 Qualified females, minorities, and special disabled veterans and other veterans are encouraged to apply.

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