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Senior Privacy Engineer at Jobgether in Remote
Skills
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Privacy Engineer based in the United States.
This role offers the opportunity to build privacy-focused engineering solutions that protect sensitive data and enable responsible innovation at scale. The Senior Privacy Engineer will design and develop systems that embed privacy controls directly into products, platforms, and data workflows. Working across engineering, security, compliance, legal, product, data, and machine learning teams, this position helps transform privacy principles into practical technical solutions. The role focuses on creating scalable privacy services, automation tools, and governance capabilities that strengthen data protection and user trust. The ideal candidate will combine strong software engineering expertise with knowledge of privacy technologies, security practices, and regulated data environments. This is a high-impact opportunity for an engineer who wants to shape privacy-by-design practices and build technology that supports safe and responsible data use.
Accountabilities:
- Design, build, and operate privacy engineering services that support data governance, user control, anonymization, pseudonymization, retention, deletion, and auditability.
- Implement privacy-by-design patterns and data minimization controls across products, services, data pipelines, and machine learning systems.
- Develop APIs, libraries, backend services, and developer tools that help engineering teams consistently apply privacy controls across technical environments.
- Partner with Security, Legal, Compliance, Product, Data, Machine Learning, and Infrastructure teams to translate privacy requirements into clear technical solutions.
- Support privacy reviews, data flow assessments, technical risk evaluations, and product assessments for new capabilities and data usage scenarios.
- Build and improve systems that enable automated privacy enforcement, governance workflows, and responsible data management.
- Enhance the reliability, observability, scalability, and maintainability of privacy systems through testing, monitoring, documentation, and thoughtful architecture.
- Apply privacy-enhancing technologies and engineering best practices to reduce risk and improve protection of sensitive information.
- Contribute to the development of technical standards and reusable solutions that make privacy practices easier to adopt across engineering teams.
- Communicate technical privacy considerations and tradeoffs effectively with both technical and non-technical stakeholders.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
- 3+ years of experience in software engineering, with experience building and operating production-grade software systems.
- Strong programming experience with languages such as Python, Go, Java, Scala, C++, Rust, or similar technologies.
- Experience designing and developing APIs, microservices, libraries, backend systems, or data platform capabilities.
- Experience working with privacy or security domains such as anonymization, pseudonymization, data retention, deletion, data lineage, access control, encryption, audit logging, or data minimization.
- Proven ability to translate privacy, security, compliance, or data protection requirements into technical workflows and software solutions.
- Knowledge of privacy-by-design principles, privacy-enhancing technologies, purpose limitation, consent management, retention policies, and data subject rights.
- Experience with data governance systems, data catalogs, lineage tools, personally identifiable information detection, redaction, or automated policy enforcement is preferred.
- Experience supporting privacy reviews, threat modeling, data flow mapping, or technical risk assessments for production environments.
- Familiarity with machine learning systems, financial services, lending platforms, or other highly regulated data environments is a plus.
- Strong communication and collaboration skills, with the ability to explain complex privacy engineering concepts and technical tradeoffs to diverse audiences.
Benefits:
- Competitive base salary range of $164,800 – $228,400 USD, depending on location, experience, skills, and qualifications.
- Additional compensation opportunities, including target bonuses and annual equity grants.
- Comprehensive medical, dental, and vision coverage.
- 401(k) retirement plan or Group Retirement Savings Plan with company matching contributions.
- Employee Stock Purchase Plan opportunities for eligible employees.
- Health Savings Account contributions for eligible plans.
- Life insurance and disability coverage for financial protection.
- Paid time off, sick leave, and company holidays.
- Paid family and parental leave benefits.
- Fertility, parenthood, and caregiving support programs.
- Employee Assistance Program offering mental health resources and personal support.
- Financial wellness resources and planning tools.
- Annual wellness allowance supporting personal development and well-being.
- Annual productivity allowance for tools and resources needed to work effectively.
- Remote-friendly digital-first work environment with opportunities for team collaboration and in-person gatherings.
- Access to employee communities, events, and professional growth opportunities.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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