Staff Security Data Engineer
About the role
Staff Security Data Engineer
United States
Security
Individual Contributor
Yes
6060
Full Time
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Job Description
About GitHub
GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot.
Locations
In this role you can work from Remote, United States
Overview
GitHub is changing the way the world builds secure software and we want you to help change the way we secure GitHub. GitHub’s Security Operations team detects, responds, and investigates sophisticated threat activity targeting GitHub and our users. We're looking for an experienced data engineer to help define and maintain the infrastructure, data, and policies that we rely on.
In this role, you will design, build, and maintain scalable, reliable data infrastructure across Azure using technologies including Terraform, Kusto, and Airflow. You will own foundational capabilities such as data pipelines, compute clusters, tables, and data models that enable security monitoring, detection, threat hunting, incident response, and investigations. You will also help define and maintain security telemetry policy, ensuring that critical security data is available, trustworthy, appropriately governed, and useful throughout its lifecycle.
This is an opportunity to join a high-impact, highly collaborative Security organization that helps drive secure outcomes for GitHub, our customers, and the broader open source software community. If you have deep experience building cloud-scale data platforms, can lead strategically across organizational boundaries, and are motivated to solve complex security data and infrastructure challenges, we want to hear from you!
Responsibilities
Design, build, and maintain secure, reliable, and scalable data infrastructure in Azure, and AWS, including Terraform-managed resources, Kusto clusters and tables, and Airflow-orchestrated ETL pipelines
Lead cross-organizational initiatives to onboard new security telemetry, and identify and close visibility gaps
Establish and advance data governance practices for security telemetry, including highly sensitive data sources
Define and drive adoption of security telemetry policies and standards, partnering with Security teams and service owners to identify and remediate gaps
Provide technical leadership to projects focused on the data platforms and infrastructure that supporting security monitoring, threat detection, hunting, investigations, and incident response
Qualifications
Required Qualifications:
10+ years experience in security analysis, security research, cyber security, security engineering, or relevant area
o OR Associate's Degree AND 9+ years experience in security analysis, security research, cyber security, security engineering, or relevant area
o OR Bachelor's Degree AND 8+ years experience in security analysis, security research, cyber security, security engineering, or relevant area
o OR Master's Degree AND 6+ years experience in security analysis, security research, cyber security, security engineering, or relevant area
o OR Doctorate AND 4+ years experience in security analysis, security research, cyber security, security engineering, or relevant area
o OR equivalent experience.
5+ years of hands-on experience building and maintaining cloud scale Azure infrastructure
3+ years of deep experience with Kusto and KQL, Apache Airflow, Terraform, and Python in production environments
2+ years experience leading complex initiatives across organizational boundaries , aligning stakeholders, and translating operational requirements into durable technical solutions.
Preferred Qualifications:
Experience collaborating with Security Operations and Engineering teams around security telemetry requirements
Experience supporting Security Operations disciplines such as Threat Detection, Incident Response, Threat Intel, and/or Red Teaming
Experience leveraging AI workflows, where appropriate, to drive improved security outcomes
Experience designing near-real-time telemetry ingestion using Azure Event Hubs or comparable technologies
Experience establishing observability, reliability, data-quality, and cost-management practices for data platforms
GitHub values
Customer-obsessed
Ship to learn
Growth mindset
Own the outcome
Better together
Diverse and inclusive
Manager fundamentals
Model
Coach
Care
Leadership principles
Create clarity
Generate energy
Deliver success
Minimum requirements
- 10+ years in security-related roles or equivalent experience with relevant degrees
- 5+ years building and maintaining cloud-scale Azure infrastructure
- 3+ years experience with Kusto, KQL, Apache Airflow, Terraform, and Python in production environments
This listing was parsed by AI and may not be complete. Check the official posting on GitHub's site for the most accurate information.