Lead Security Data Engineer: Intelligence & Risk

Reinsurance Group Of America, Incorporated; Minnesota; On-site; USD 140,000 - 190,000; Full time

Job summary

RGA is seeking a security data engineering leader to design and deliver scalable data pipelines across security, governance, cloud, and risk platforms. You will build governed data products on Snowflake, mentor staff, and partner with governance and remediation teams.

You will define KPIs/KRIs, socialize metrics with executives, and drive measurable risk reduction through analytics, dashboards, and automation.

Qualifications

• 6+ years of experience in security engineering or data engineering.
• Bachelor’s degree in Arts/Sciences (BA/BS) or equivalent experience.
• Experience leading technical projects or small project teams and mentoring.
• Experience building security data products, analytics, or metrics within a governed enterprise data environment.

Responsibilities

• Lead design and delivery of complex security data engineering initiatives and small cross‑functional project teams.
• Ingest and integrate data from security, governance, cloud, application, endpoint, vulnerability, identity, and risk platforms.
• Deduplicate, correlate, and enrich security findings to produce actionable intelligence.
• Design and deliver governed security data products through Enterprise Data Platform using Snowflake.
• Develop and optimize Snowflake data models, SQL transformations, and compute patterns.
• Establish governance for ingestion, transformation, access, lineage, data quality, and lifecycle.

Skills

Security data engineering

Snowflake

Python

SQL

APIs

Data governance

Data pipelines

Power BI

Leadership

Education

Bachelor’s degree in Arts/Sciences (BA/BS)

Master’s degree (preferred)

Tools

Snowflake

dbt

Airflow

Power BI

Git

CI/CD

containers

Job description

RGA is seeking a security data engineering leader to design and deliver scalable data pipelines across security, governance, cloud, and risk platforms. You will build governed data products on Snowflake, mentor staff, and partner with governance and remediation teams.

You will define KPIs/KRIs, socialize metrics with executives, and drive measurable risk reduction through analytics, dashboards, and automation.