Staff Security Data Engineer

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 Leadership Principles:

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

Who We Are: GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.
Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms.
Join us, and let’s change the world, together.
EEO Statement: GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!