Data Engineer - Product Security

**** About the Job
**** At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. But innovation cannot exist without security. The
** Red Hat Product Security
** team is the guardian of that trust, ensuring that our portfolio—from Linux to the hybrid cloud—remains secure by design and compliant by default.
**** What you will do****
* **** Unify Disparate Data:
**** Design and build robust data pipelines (ETL/ELT) to ingest, clean, and normalize security data from a wide variety of sources (e.g., vulnerability scanners, build systems, issue trackers, and customer feedback loops).
* **** Enable AI-Driven Insights****:
Integrate AI and Machine Learning models into our data workflows to identify patterns, predict potential risks, and automate the classification of security signals.
* **** Visualize Security Posture:
**** Collaborate with security architects and leadership to generate data views and dashboards that accurately reflect the security health of Red Hat products.
* **** Ensure Data Integrity:
**** Implement automated validation and quality checks. In Product Security, bad data leads to bad risk decisions; your work will ensure we trust the numbers.
* **** Innovate:
**** continuously evaluate new tools and open source technologies to improve the efficiency and speed of our data processing.
**** What you will bring
**** We are less interested in a checklist of specific tools and more interested in your ability to solve complex data problems. If you have the aptitude and the mindset, we can help you learn the specific stack.
* **** Relevant

Experience:

**** Typically, 2+ years of experience in data engineering, software development, or a related field.

* Note:

We welcome applicants with less experience who can demonstrate exceptional aptitude, personal projects, or a strong portfolio of relevant work.*
* **** Data Wrangling Proficiency:
**** Demonstrated ability to manage large datasets. You should be comfortable writing complex SQL and using programming languages (like Python) to manipulate data.
* **** The AI Advantage:
**** Experience with, or a strong passion for, Artificial Intelligence and Machine Learning. If you have used LLMs to summarize data, or built models to detect anomalies, we want to hear about it. This is a significant plus for this role.
* **** Problem-Solving Mindset:
**** You are comfortable dealing with ambiguity. You can look at a messy dataset and see the structure hidden within it.
* **** Communication:
**** Ability to explain technical data concepts to non-technical stakeholders. You can tell the story behind the data.
* **** Open Source Spirit:
**** A willingness to work in an open, collaborative environment. Familiarity with Linux or open source development practices is beneficial.

The salary range for this position is $86,770.00 - $. Actual offer will be based on your qualifications.
** Pay Transparency
** Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
** About Red Hat
** is the world’s leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure.

We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
** Benefits*
* ● Comprehensive…