Security DLP Engineer

Charles Schwab Inc.•Lone Tree, CO

2d•$130,000 - $140,000

About The Position

The Schwab CyberSecurity Services (SCS) organization is a centralized Center of Excellence (COE) within Schwab Technology Services (STS) that provides security services to advance Schwab’s security posture of critical assets. The Data Loss Prevention Engineering team protects the Firm’s data. Schwab has opportunities for tremendous growth. We are implementing tried and true security controls with cutting edge technologies in the cloud. This Security Engineer in Data Loss Prevention, (DLP), will join an exceptional team of engineers and analysts whose mission is to protect Schwab’s most valuable assets: our client information and their trust.

Requirements

Expertise in source control, unit testing, and agile methodologies is paramount.
3-5 years of enterprise-level system administration experience, supporting multiple DLP technologies that are subject to high levels of audit and regulatory oversight, is required.
Fundamental skillset utilizing EDM/IDMs and compiling complex Regex’s to identify different levels of data classification within structured and unstructured data elements.
Understanding and utilization of data classification/labeling techniques in a complex environment.
Strong functional familiarity with the following: CASB, Proxy, Network DLP solutions, Google Cloud, AWS, endpoint DLP. DNS and TCP/IP Internet and networking technologies within large, distributed environments.
Ability to configure, design and implement data protection, encryption in transit, encryption at rest, cloud KMS, Identity Aware Proxy, cloud DLP, cloud security compliance and handle security operations within a cloud solution environment.
Development and scripting experience in Cloud Service Provider IaaS environments such as AWS, Azure, and GCP

Nice To Haves

Bachelor of Science in Information Technology, Information Security, Computer Science or related is preferred.

Responsibilities

Ensuring integrity and security of information across multiple platforms for unstructured and structured data within on-premises and cloud-based infrastructure.
Develop, engineer and automate quality monitoring of unstructured and structured data to ensure accurate response rules based on corporate security and compliance policies.
Provide risk-mitigation recommendations to Schwab Cyber Security; build (or review and validate) requirements to maintain or enhance technical and operational controls that ensure the protection of sensitive data.
Continually evaluate effectiveness and efficiency of data protection systems as needed in order to tune security configurations to reduce false positive events while improving detection of high quality, quantifiable and measurable risk events.
In the scope of the tool set be able to gather requirements, design, test, implement, operate, solve and perform root cause analysis of problems.
Deliver new and improved data protection capabilities, analytics, visualizations, reporting, and impactful, valuable, risk intelligence in short, sprint-like outcomes.
Collaborate with enterprise and security architecture, governance, risk, onboarding, and production support teams while building and maintaining durable data security solutions.
Proven thought leadership with Python, C#, .Net MVC, RESTFul Methodologies, Git, and Continuous Integration/Deployment tooling.
Evaluate and prioritize workstreams for efficient delivery via an Agile methodology.
Coach, mentor and develop less experienced colleagues.