Staff Security Engineer - Data Security
Full-time
Austin, TX, USA
Primary Duties
- Lead the development, implementation, and ongoing maintenance of comprehensive security strategies and solutions.
- Design and deploy advanced security controls to protect the business.
- Work across disciplines to shape our security services strategy and execution
- Set and uphold the standard for security processes to support high-quality engineering
- Mentor and galvanize new engineers to do their best work
Minimum Qualifications
- BS/BTech (or higher) in Computer Science, Information Technology, Cybersecurity or a related field
- 8+ years of experience in software or security engineering within Cloud Native environments
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Data Security
- Cloud & Data Platforms: Experience with modern cloud data platforms (e.g., Postgres, Snowflake, Databricks, AWS S3) and data architectures (data warehouses, data lakes, lakehouses).
- Data Security Posture Management (DSPM): Deep experience with data discovery, classification, and other DSPM focused areas to help protect sensitive data across the organization.
- Technical & Scripting: Proficiency in Python (or a similar language) and regex patterns for automation and tooling integration.
- Compliance & Privacy: Foundational understanding of protecting PII/PHI and healthcare regulatory requirements (e.g., HIPAA).
Preferred KSA’s
Experience architecting, developing, and deploying large-scale distributed systems at scale
Experience with cloud technologies, e.g., AWS, Azure, GCP
Experience building continuous integration and continuous development (CI/CD) pipelines
Familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
Experience with health-tech systems, like Electronic Health Records, Clinical data, etc.
DSPM Tools: Hands-on experience with Data Security Posture Management platforms (e.g., Wiz DSPM, BigID, Cyera, Bedrock Data).
Pipeline Integration: Experience embedding security controls directly into data pipelines and ETL/ELT workflows.
Data Lifecycle: Familiarity with data retention, lifecycle management, and legal hold processes.
Data Protection: Familiarity and experience with Tokenization, Encryption, or cryptography tools or processes that help protect sensitive data at rest.
Industry Context: Prior experience working in healthcare, health tech, or another highly regulated, compliance-heavy environment.
Data Security