Data Protection Engineer — DLP/DSPM Specialist

Highmark Health; Little Rock (AR); À distance; USD 79 000 - 127 000; Plein temps

Résumé du poste

enGen is seeking a Data Protection Engineer to implement, maintain, and support its data protection infrastructure across on‑premises and cloud environments. You will work with DLP, DSPM, and de-identification solutions, and help define engineering policies while collaborating with senior engineers.

Ideal candidates have 5+ years in data protection, information security, and incident response, with hands-on experience across Windows, Linux, and cloud platforms such as GCP, AWS, or Azure.

Qualifications

• 5+ years of Data Loss Prevention experience.
• 5+ years in Information Security and systems analysis.
• 5+ years deploying DLP infrastructure.
• 3+ years cloud provider experience (GCP/AWS/Azure).

Responsabilités

• Implement and maintain data protection infrastructure across platforms.
• Collaborate on design and implementation of data protection solutions.
• Configure and maintain data protection policies and tunings.
• Troubleshoot data protection incidents and perform root-cause analysis.
• Develop automation scripts to improve deployment and maintenance.
• Stay current with data protection technologies and compliance.

Connaissances

DLP tools

DSPM

Windows

Linux

GKE

Encryption

PowerShell

Python

HIPAA

NIST

Kubernetes

GitLab

Terraform

Formation

Bachelor's degree in Information Security / CS

Master's degree preferred

5+ years substitutions for degree

Outils

GitLab

Terraform

PowerShell

Python

Description du poste

enGen is seeking a Data Protection Engineer to implement, maintain, and support its data protection infrastructure across on‑premises and cloud environments. You will work with DLP, DSPM, and de-identification solutions, and help define engineering policies while collaborating with senior engineers.

Ideal candidates have 5+ years in data protection, information security, and incident response, with hands-on experience across Windows, Linux, and cloud platforms such as GCP, AWS, or Azure.