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Staff Security Data Engineer

GitHub
Remote, USARemoteData & AnalyticsSenior-LevelNot Specified - Not SpecifiedPosted: yesterday

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.

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