Data Security Engineer

Overview

Our Globally recognized Client is seeking a DLP Data Security Engineer / Full Stack Software Developer to work onsite within the Global Data Security Program. This role is dedicated to developing and deploying scalable automation, workflows, and integrations to accelerate global data protection initiatives and proactively reduce Client’s cyber risk exposure. The position will involve building automation and tools for a variety of security-related initiatives.

Contract opportunity in Plano, Texas.

Contract Duration: 3+ month with potential for contract to hire

• Execute projects, objectives, and deliverables in alignment with team vision, mission, and goals.
• Develop program metrics, continuously measure progress, and drive improvements.
• Design, develop, and maintain software and system solutions using multiple programming languages and technology stacks to support data security and protection objectives.
• Develop technical documentation (i.e., system design, architecture diagrams, data flows, functional specifications).
• Identify and address vulnerabilities and develop or enhance software-based security measures to drive continuous improvement of data protection practices.
• Routinely develop and update program documentation, processes, and technologies to adapt to the evolving threat landscape.
• Create and deliver training sessions; mentor junior team members; and engage in knowledge transfer sessions, technical design reviews, security reviews, and business review meetings.
• Collaborate with senior leadership and cross-functional teams including Security Operations, Legal, Privacy, Data and Analytics, Enterprise Architecture, Platform teams, and sector functions to align automation, data protection controls, and business outcomes.
• Contribute hands-on to building, testing, and maintaining software, automation, integrations, and tools that support data loss prevention and broader data security objectives.

• 3+ years in data security, data loss prevention (DLP), software development, or computer engineering; or master’s degree in computer science/engineering or related data security field, and 1 year of relevant experience.

• Manage DLP tools, including configuring policies, tuning, testing, and implementing new features and functionality.
• Provide support across multiple areas of data security and operations:
  Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data labeling, data classification and rights management, data encryption, and data access governance.
• Manage the technical configuration, implementation, administration, and support of multiple data security products and solutions such as CASB, SASE, DLP, and DSPM.
• Develop technical documentation (e.g., system designs, architecture diagrams, data flows, functional specifications).
• Leverage APIs to collect key performance indicators (KPIs) and key risk indicators (KRIs) for data governance and protection controls.
• Collaborate with senior leadership and cross-functional teams including Security Operations, Legal, Privacy, Data and Analytics, Enterprise Architecture, Platform teams, and sector functions.
• Hands-on experience developing automation and security workflows, dedicating a significant portion of time to building software and integrations for data protection initiatives.
• Strong programming skills in Python and JavaScript, with solid experience in at least one of:
  Java, Power Shell, or C#; comfortable switching across languages and technology stacks to contribute to multiple active projects simultaneously.
• Proficiency in scripting and automation using Power Shell for task automation, system administration, security operations workflows, and integration with enterprise platforms (e.g., Active Directory, Microsoft 365, Azure).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker) to deploy and operate security and data protection solutions.
• Familiarity with version control systems (e.g., Git), CI/CD pipelines, and automation tools to accelerate…