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# Data Security Engineer

- **Company:** The Real Estate
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Software as a Service, Cloud Storage, Collaborative Software, Databases, Data Discovery, Identity and Access Management, Python (Programming Language), Key Management, Operational Databases, Windows PowerShell, Role-Based Access Control, Security Information and Event Management, Tokenization, Data Logging, Cloud Platform System, Data Classification, AWS Data Analytics, Database Monitoring, Golang
- **Published:** October 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/7289fa07-12d9-4fbb-91af-acf8408fbed4/senior-data-security-engineer

## About the Role

What you bring 5+ years of experience across data security, cloud security, platform security, security engineering, or related technical roles., * Hands-on experience implementing or operating capabilities such as DLP, DSPM, CASB, database activity monitoring, data discovery, or sensitive data classification.
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 * Strong understanding of data protection across cloud storage, databases, SaaS platforms, collaboration tools, endpoints, and analytics environments.
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 * Experience securing AWS data services and multi-account environments, including storage permissions, encryption, logging, identity, and public exposure controls.
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 * Experience with encryption, key management, tokenization, masking, secrets management, and protection of production data used in non-production environments.
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 * Strong understanding of IAM, least privilege, privileged access, service identities, and access-control models such as RBAC and ABAC.
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 * Experience integrating security telemetry with SIEM, XDR, SOAR, or incident response workflows.
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 * Ability to write automation or production-quality scripts in Python, PowerShell, Go, or a similar language.

## Description

We are hiring a Sr. Data Security Engineer to help us understand where sensitive data exists, how it moves, who can access it, and how it should be protected. You will build and operationalize the technical capabilities used to Client, classify, monitor, and protect data across cloud environments, SaaS platforms, databases, analytics platforms, endpoints, and non-production systems. The goal is not simply to deploy more security tools. It is to make data protection measurable, enforceable, and sustainable across the enterprise.