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Data Privacy Engineer

Experis

This is a Full-time position in Irving, TX posted June 11, 2021.

SUMMARY Data Privacy Engineer will be responsible for supporting data governance initiatives through processes and technologies such as Data Loss Prevention (DLP) platforms. The engineer will work with key partners including HR, Legal, and other teams across the enterprise to document and implement key activities (to include working with security operations on triage and investigation, escalation of policy breaches and potentialactual instances of data leakage, and reporting). The Data Privacy Engineer will lead several efforts pertaining to data governance, data collection practices, and administrative security. RESPONSIBILITIES Develop and implement solutions to ensure privacy policies are correctly implemented. The implementations should advance compliance with legal forms of data use as well as support business use of data. Work to align advanced technologies and Privacy by Design principles from the first stages of development and ensure that the data use meets established regulatory compliance needs. Collaborate with data product development teams creating new uses of data that employ privacy features. Work with internal privacy program personnel, product development teams, legal, compliance, governance and data teams. Implement solutions to support the discovery, inventory, and classification of data. Analyze, design and program software enhancements for new data streams with a goal of developing technical solutions and systems to help mitigate privacy vulnerabilities and prevent potential future privacy risks. Responsible for assisting with the management of the data privacy, data protection, data usability, performance and the integrity of the privacy solution. Interact with users to define system requirements andor necessary modifications to new or existing software. Interface with other developers and architects in implementing data solutions that enable the business to be data driven while protecting the data assets. Interface with usability team to ensure user-facing privacy controls are usable Use data anonymization, pseudonymization and encryption to develop systems that preserve and improve privacy protections. Guide the development of new privacy products and features. Identify areas of improvement in local practices relative to managing data privacy. Performs regular privacy assessments of operational processes, identifying, and mitigating risks across the company through effective tools, training and guidance Acts as key interface to data science and analytics communities both within and outside of the organization QUALIFICATIONS BS or MS degree in computer science, computer engineering, information systems, privacy engineering or related field of study. CIPT certification 5 years of experience in privacy data protection or a graduate degree or concentration in privacy engineering Strong software development skills. Experience or understanding of software applications design tools and languages Understanding of design for software applications running on multiple platforms. Understanding of testing, coding and debugging procedures. Demonstrated working knowledge of software engineering fundamentals. Competent in the interpretation of numeric data, an understanding of statistical principles. Data literacy finding and managing data, cleansing data, manipulating data. Ability to perform operations on large datasets