
1001 - 5000 employees
Founded 1973
💼 Consulting
📦 Logistics
🛡️ Insurance
Consulting • Logistics • Insurance
Reinsurance Group of America, Incorporated (RGA) is a leading global reinsurance company that focuses exclusively on life and health reinsurance solutions. With a strong commitment to providing innovative products and services, RGA helps its clients manage risk and enhance their insurance portfolios through its expertise in underwriting, claims management, and financial solutions. The company operates in multiple global markets, leveraging its extensive data and analytics capabilities to offer tailored solutions that meet the unique needs of the life and health insurance sectors.
🔥 2 minutes ago
❄️ Minnesota – Remote
💵 $126.7k - $188.8k / year
⏰ Full Time
🟠 Senior
👮♂️ Cybersecurity / Security Engineer
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1001 - 5000 employees
Founded 1973
💼 Consulting
📦 Logistics
🛡️ Insurance
Consulting • Logistics • Insurance
Reinsurance Group of America, Incorporated (RGA) is a leading global reinsurance company that focuses exclusively on life and health reinsurance solutions. With a strong commitment to providing innovative products and services, RGA helps its clients manage risk and enhance their insurance portfolios through its expertise in underwriting, claims management, and financial solutions. The company operates in multiple global markets, leveraging its extensive data and analytics capabilities to offer tailored solutions that meet the unique needs of the life and health insurance sectors.
• Lead the design and delivery of complex security data engineering initiatives and small cross-functional project teams • Provide technical direction from solution design through implementation and operational ownership • Ingest and integrate data from security, governance, cloud, application, endpoint, vulnerability, identity, and risk platforms • Deduplicate, correlate, and enrich security findings with asset, ownership, business, control, and risk context • Design and deliver governed security data products through RGA’s Enterprise Data Platform using Snowflake • Develop and optimize Snowflake data models, SQL transformations, queries, and compute patterns • Manage data quality, performance, access, traceability, and cost • Establish ingestion, transformation, role-based access, lineage, metadata, data-quality, and lifecycle practices • Co-develop KPIs, KRIs, control-effectiveness measures, thresholds, targets, and calculation methodologies • Establish metric governance with documented definitions, authoritative sources, ownership, validation, refresh cadence, version control, and traceability • Socialize metrics with leaders, control owners, and remediation teams • Develop dashboards, scorecards, reporting capabilities, and reusable services with drill-through to assets, controls, findings, and remediation work • Identify trends, systemic risks, exposure concentrations, control gaps, and remediation opportunities • Build data foundations for security automation and AI-enabled and Model Context Protocol-based capabilities • Mentor technical staff, establish engineering standards, guide design and peer reviews, and provide training • Evaluate security, data, and analytics technologies and recommend solutions • Communicate architecture, tradeoffs, delivery status, risks, and recommendations to technical and business stakeholders
• Bachelor’s degree in Arts/Sciences (BA/BS) or equivalent experience • 6+ years of experience in security engineering, information systems, data engineering, security analytics, application development, or a closely related discipline, including significant hands-on security technical delivery • Experience leading technical projects or small project teams, guiding solution design, mentoring others, and driving work through delivery • Strong information security knowledge across vulnerability, exposure, cloud, application, endpoint, identity, governance, and control data • Experience defining and operationalizing KPIs, KRIs, control measures, and outcome-based metrics • Working knowledge of governed data-product practices, including role-based access, lineage, metadata, data quality, ownership, and secure data sharing • Experience with security analytics, business intelligence, dashboard development, data visualization, and executive or operational reporting • Advanced hands-on skill with Python, SQL, APIs, data modeling, databases, and automated data pipelines • Experience building analytical models, pipelines, or data products on Snowflake, an enterprise data platform, or a comparable cloud data ecosystem • Experience designing, developing, deploying, and operating applications or data services in AWS or another major cloud platform • Advanced oral and written communication skills • Advanced ability to translate business and security needs into maintainable technical solutions and measurable outcomes • Advanced investigative, analytical, problem-solving, stakeholder-management, change-management, negotiation, and influence skills • Ability to balance strategic architecture with hands-on engineering and manage competing priorities • Ability to work effectively across technical, operational, risk, governance, and business functions • Preferred: Master’s degree or relevant professional industry certification • Preferred certifications: CISSP, CISA, CCSP, CGRC, CompTIA CASP+, OSCP, CEH • Preferred experience with Snowflake, dbt, Airflow, Atlan, Power BI, Git-based development workflows, infrastructure as code, CI/CD, containers, or serverless application patterns • Preferred experience with security platforms such as Wiz, GitHub Advanced Security, GitGuardian, CrowdStrike, Tenable, Nucleus, LogicGate, or comparable technologies • Preferred knowledge of exposure management, vulnerability prioritization, risk-based remediation, security program measurement, and control-effectiveness reporting • Preferred experience with AI-enabled integrations, automation, or Model Context Protocol • Preferred relevant cloud, security, data engineering, analytics, or architecture certifications
• Annual bonus plan • Long-term equity incentive plan eligibility for some positions • Health benefits • Retirement benefits • Other employee benefits • Learning and experience with diverse colleagues around the world • Respectful, welcoming environment that fosters individuality and pioneering thought • Career potential and global opportunities • AI-powered personalized job recommendations, interview scheduling, and chatbot answers during preliminary screening
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