Threat Detection Engineer, Data Engineering

Northwestern Mutual

Security Automation Engineer designing and maintaining automated pipelines to enhance cybersecurity capabilities. Collaborating with teams to provide data-driven operational efficiency.

Posted 7/31/2026full-timeMilwaukee • New York, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $130,800 - $196,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and ETL/ELT processes, with a strong focus on data quality, governance, and automation. Proficient in cloud-based architectures and security automation, with the ability to mentor and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

SQL DevelopmentPython ProgrammingData Pipeline EngineeringETL/ELT DesignAWS Cloud Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Governance PracticesDatabase Structures PrinciplesData ModelingEvent StreamingPipeline Performance TuningREST API Best PracticesCI/CD DeploymentSecurity Automation ToolsData Integration Patterns

Soft Skills

Excellent Communication SkillsMentorshipCollaboration

Tools & Technologies

DatabricksGitLabTerraformAnsibleKubernetes

Industry Keywords

Data Engineering Best PracticesCloud-Based Data ArchitecturesAutomation WorkflowsCybersecurityAnalytics Products

Tech Stack

Tools & technologies

AnsibleAWSCloudCyber SecurityETLKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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)
Deep understanding of database structures principles and best practices
Deep understanding of data modeling, ETL/ELT design, data engineering best practices, including data integration patterns, replication, event streaming, and pipeline performance tuning
Hands-on experience with security automation and orchestration tools and/or software development technologies
Comfortable with REST API best practices and usage
Hands-on experience deploying content and/or systems through CI/CD environments, and tooling such as GitLab, GitLab CI, Terraform, Ansible, Kubernetes etc.
Hands-on experience with AWS and cloud services configuration and development
Excellent written and verbal communications skills.
Ability to communicate with technical and non-technical audiences.

Benefits

Comp & perks

Health insurance
Retirement plans
Professional development opportunities