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Sr. Data Privacy Engineer
Job in
Lowell, Benton County, Arkansas, 72745, USA
Listed on 2026-07-09
Listing for:
J.B. Hunt
Full Time, Part Time, Seasonal/Temporary
position Listed on 2026-07-09
Job specializations:
-
IT/Tech
Data Security, Data Engineering, Data Analyst, IT Consultant
Job Description & How to Apply Below
Sr. Data Privacy Engineer Department:
Quality Management Country:
United States of America State/Province:
Arkansas City:
Lowell Full/Part Time:
Full time
Job Summary:
Under general supervision, the position will be responsible for the optimization of the company's use of its information assets by filling the gap between policy and technology implementation. This position will act as a subject matter expert to ensure delivery of solutions that comply with business policies and legal requirements to protect, use, and store data for the appropriate amount of time.
The incumbent will place an emphasis on minimizing risk, reducing cost, and maximizing the value of information resources across the enterprise through collaboration on privacy standards.
Job Description:
Key Responsibilities:
Collaborate with internal teams on complex projects to ensure the data retention or system requirements, user-facing privacy controls, new or existing software, and big data solutions enable the business to be data driven while protecting the data assets
Review past privacy events and current privacy threats to improve privacy compliance using advanced technologies and design principles to develop and implement new tools and processes
Maintain, manage, and prioritize hardware, software, systems and/or product backlog, while actively identifying risks, constraints, and dependencies that would impact roadmaps
Manage large and complex projects and enhancements, including gathering requirements, conducting research, task management, and updating key partners and stakeholders with the goal of developing solutions to help mitigate privacy vulnerabilities and future privacy risks
Work with the legal department and business unit leaders to produce data out of the archives to provide needed data pertaining to legal questions, legal hold/discovery, billing, and/or claims request
Write and deploy SQL to archive and/or purge data from databases and to locate, review, explain, and document data for privacy requirements
Identify and develop effective processes and procedures to mitigate data risk within a data structure; mitigation includes, but is not limited to, data anonymization, pseudonymization, encryption, and purging
Guide vendors and contractors on database and privacy standards
Act as a subject matter expert for internal teams on data governance and privacy strategy
Mentor junior team members to ensure proper procedure and processes are followed; participate in all peer or code reviews to ensure consistent and proper coding methods
Qualifications:
Minimum Qualifications:
Bachelor’s Degree in Computer Science, Computer Engineering, Information Systems, or related field, or foreign equivalent, or suitable combination of education, experience, and training plus 5 years of work experience in a data privacy, protection, or ITAND Demonstration of the following
Extensive experience writing in SQL
Preferred Qualifications:
Master's degree in computer science, computer engineering, information systems, privacy engineering, or related field of study plus 3 years experience in data privacy, protection, or IT Experience with data modeling and data modeling tools, such as Erwin
Experience with database tools such as No
SQL, SQL Server, DB2, Google Big Query
Experience with software tools such as Solix, One Trust, Immuta, and MantaCIPT, CIPP, CIPM, CISSP, CISA, CRISC, FAIR certification
Ability to learn and develop high proficiency in new technology platforms
Knowledge of data architecture and database structure
Knowledge of servers and operational characteristics of an enterprise computing environment
Ability to balance risks in ambiguous and complex situations
Experience or understanding of software applications design tools and languages
Understanding of design for software applications running on multiple platforms
Knowledge of data literacy: finding and managing data, cleansing data, manipulating data Ability to perform operations on large datasets
Understanding of testing, coding and debugging procedures
Knowledge of techniques and tools that promote effective analysis
Ability to accurately analyze situations and reach productive decisions based…
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