Lead Information Security Engineer

Reinsurance Group of America, Incorporated

. Lead the design and delivery of complex security data engineering initiatives and small cross-functional project teams .

Posted 10/26/2026full-timeRemote • Minnesota • United StatesSenior💰 $126,710 - $188,840 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in security data engineering, including the design and delivery of governed data products using Snowflake, while effectively managing data quality and performance. Proficient in translating complex security needs into actionable metrics and technical solutions, with strong leadership in mentoring and guiding project teams.

Highest-signal resume keywords

Snowflake Data ModelingSecurity Data EngineeringKPI/KRI OperationalizationPython and SQL ProficiencyCloud Platform Application Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSecurity AnalyticsData VisualizationAutomated Data PipelinesData Quality ManagementSQL TransformationsAPIs DevelopmentData Governance PracticesAnalytical Model BuildingDashboard Development

Soft Skills

Advanced Communication SkillsStakeholder ManagementProblem-SolvingMentoringChange Management

Tools & Technologies

AWSPower BIDbtAirflowGitHub Advanced SecurityCrowdStrikeTenableLogicGateGit-based Development WorkflowsCI/CD

Certifications & Qualifications

CISSPCISACCSPCGRCCompTIA CASP+OSCPCEH

Industry Keywords

Information SecurityGovernanceRisk ManagementVulnerability ManagementExposure ManagementControl-Effectiveness ReportingSecurity Program MeasurementAI-Enabled IntegrationsModel Context ProtocolCloud Data Ecosystem

Tech Stack

Tools & technologies

AirflowAWSCloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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