Hiring: Sr. Threat Detection & Automation Engineer (with focus on Data Engineering) Company: Northwestern Mutual Location: Milwaukee, WI Job Posted Time: 2026-09-16 18:16:48 Target Skills & Keywords : AWS, Ansible, Bash, C++, CI/CD, Data Lake, Data Pipeline, Data Warehouse, Databricks, ELT, ETL, GitLab, GitLab CI, IAM, Java, JavaScript, Kubernetes, Penetration Testing, PowerShell, Python, REST, SIEM, SQL, ServiceNow, Terraform About the job Experience: •Applied hands-on capability in security technologies such as firewalls, IDR/IPS, EDR, IAM principles and others. Required Skills: •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. Qualifications: •Adaptive Communication - Adaptive Communication: Formulates strategies to be used to convey complex information about services, products, systems, or processes to targeted audiences; communicates and liaises between technical and non-technical audiences. •Data Architecture - Data Architecture: Designs and maintains the structure of logical and physical data assets and data management resources; develops and governs policies and processes for data collection, storage, arrangement, integration, and usage of data. •Data ETL - Data ETL: Extracts, transforms, and loads data from multiple sources to a data warehouse or unified data repository. •Databases & Data Platforms - Databases & Data Platforms: Utilizes knowledge of databases to access, manage, and update information, typically containing aggregations of data records or files; includes understanding of different types of databases. •SQL - SQL: Applies clear, logical codes for small and large-scale projects using the language constructs and object-oriented approach of SQL to manage data in a database management system. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!