Staff Security Data Engineer

GitHub; United States; Remote; USD 170,000 - 250,000; Full time

Job summary

GitHub is seeking a Staff Security Data Engineer to design, build, and maintain scalable data infrastructure across Azure with Terraform, Kusto, and Apache Airflow. You will own data pipelines, tables, and models that enable security monitoring, threat hunting, and incident response.

You will collaborate across Security and Engineering to onboard telemetry, govern sensitive data, and drive reliability, cost-management, and observability for cloud-scale data platforms.

Qualifications

• 10+ years of experience in security analysis, security research, or security engineering.
• 5+ years of hands-on experience building and maintaining cloud-scale Azure infrastructure.
• 3+ years of deep experience with Kusto/KQL, Apache Airflow, Terraform, and Python in production environments.
• 2+ years experience leading complex initiatives across organizational boundaries.
• Equivalent experience accepted.

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 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.
• Provide technical leadership to projects focused on data platforms and infrastructure supporting security monitoring, threat detection, hunting, investigations, and incident response.

Skills

Cloud data engineering

Security data analysis

Cross-team collaboration

Education

Bachelor's Degree

Master's Degree

Doctorate

Tools

Kusto

KQL

Apache Airflow

Terraform

Python

Job description

Staff Security Data Engineer
United States
Security
Individual Contributor
Yes
6060
Full Time

or

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