This role pays less than
60%
of similar roles. Most pay
$160,154–$215,840
— the shaded band above.
At the midpoint, this role pays about
$179k
versus about
$188k
for comparable roles.
Based on 240 similar postings.
Employer
About T-Mobile
T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications
T-Mobile currently has
21 open roles
on FindRole.
Listed pay typically runs
$127,800–$214,360
across 21 roles with salary data.
Principal Engineer, Cybersecurity - Data Loss Prevention joins the cybersecurity team to protect digital assets by designing, implementing, and strengthening data protection capabilities across software, systems, cloud platforms, endpoints, and infrastructure. This role involves conducting security assessments and testing to identify risks within current and emerging AI environments while architecting proactive measures for tools like Microsoft Purview, Zscaler, and Island Browser. The individual will collaborate with engineering teams to integrate security practices into data posture and provide leadership as a cybersecurity authority. Key responsibilities include evaluating new technologies for vulnerabilities and managing the lifecycle of data classification and storage. Required skills include expertise in AI, security automation, threat modeling, and incident management. The role addresses the critical challenge of securing sensitive information against cyber threats across mobile devices, networks, and enterprise applications.
What does a Engineer earn in Texas?
Median $182925 from 32 postings across 8 companies.
Design and implement data protection capabilities across software, systems, cloud platforms, endpoints, and infrastructure.
Conduct security assessments and testing to identify and mitigate risks in current and emerging AI technologies.
Architect proactive security measures using tools such as Microsoft Purview, Zscaler, and Island Browser.
Identify data protection gaps and recommend practical remediation strategies for enterprise-wide vulnerabilities.
Integrate security practices into data posture and implementation guidelines in collaboration with engineering teams.
Evaluate new technologies and processes to identify potential security risks and provide corrective actions.
Provide expert guidance on AI security practices regarding the use of sensitive data in machine learning applications.
What we're looking for
Must have a Bachelor's degree in Computer Science or Information Technology with 7 years of experience, or an Advanced degree with 5 years of experience.
Must be a U.S. citizen.
Experience with Microsoft Purview is required.
Knowledge of data loss prevention, data security, and cybersecurity technologies is required.
Expertise in AI security practices and risks associated with generative AI and machine learning is required.
Preferred: 7-10 years conducting security assessments and vulnerability testing in digital environments.
Preferred: 7-10 years developing and implementing cybersecurity measures for mobile, IoT, cloud, and network technologies.
Preferred: 7-10 years leading engineering teams to enhance security postures and strategic initiatives.
Zscaler DLP
Microsoft Purview
Broadcom Layer7 API Gateway
API Security
CASB
Endpoint DLP
Azure
SIEM
Kubernetes
CI/CD
DevOps
Linux
Unix
MySQL
SSL/TLS
DNS
Firewall
YAML