Privacy Engineer - Remote

Overview

As a Privacy Engineer at HealthVerity, you will be at the forefront of protecting patient privacy while enabling data innovation. Working across the organization, you’ll own and lead the identification of privacy risks and opportunities in how healthcare data is aggregated and used. You will design and deploy cutting-edge privacy-preserving algorithms, ensuring HealthVerity and its partners remain HIPAA-compliant while driving value through data. Your work will foster a culture of accountability, agility, and trust, helping shape the privacy landscape in a rapidly evolving industry.

In Short

• Serve as a healthcare privacy subject matter expert, providing strategic and technical guidance across the company and client projects
• Quantify and mitigate privacy risks in large, complex datasets using statistical modeling
• Design privacy-preserving frameworks (e.g., k-anonymity, k-concealment, l-diversity) to de-identify integrated healthcare and non-standard data
• Partner with internal teams and external partners to create, amend, and operationalize Expert Determinations
• Work closely with statisticians and privacy experts to maintain HIPAA and industry certifications
• Collaborate with engineers to integrate privacy protocols into production systems
• Build tools and algorithms that ensure scalable, automated privacy enforcement across big data pipelines
• Prototype and develop features for SaaS and DaaS products related to privacy, including data classification, anomaly detection, and data discovery
• Represent HealthVerity in the broader privacy community through publications, conferences, and thought leadership

Requirements

• Strong knowledge of HIPAA regulations, privacy frameworks, and de-identification techniques
• M.S. in Computer Science, Statistics, Math, or a related field, or B.S. with 5+ years of relevant experience
• Expertise in statistical modeling, information theory, and risk quantification
• Proficiency in programming languages such as C, C++, or Python
• Experience building scalable models and tools that work in production environments
• Ability to independently manage privacy determinations and build automation around privacy transformations
• Excellent written and verbal communication skills

Benefits

• Competitive base salary & annual bonus opportunity
• 401(k) plan and stock options
• Health, dental, and vision coverage starting on day 1
• Generous PTO, targeted at 4 weeks per year
• 12 weeks paid parental leave for childbearing, surrogacy, and adoption
• Comprehensive onboarding program
• Professional development budget