Senior Privacy Engineer

Upstart

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Columbus, OHAustin, TXSan Francisco, CANew York, NY
Salary
$164,800–$228,400 / yr
Posted
112 days ago
Freshness
Confirmed live yesterday
Closes
Jan 22, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k
This role $197k
$140k $245k
below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $161,437–$216,065 — the blue band above. At the midpoint, this role pays about $197k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About Upstart

Upstart is an AI lending platform that partners with banks and credit unions to expand access to affordable credit using non-traditional variables.

Upstart currently has 54 open roles on FindRole.

Listed pay typically runs $166,900–$230,900 across 53 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Senior Privacy Engineer

Senior Privacy Engineer The Senior Privacy Engineer joins the Privacy Engineering team to build systems, tools, and technical controls that protect borrower, applicant, partner, and employee data. You will design and operate privacy engineering services that support user control, data governance, anonymization, pseudonymization, retention, deletion, and auditability. Your daily work involves building APIs, libraries, and developer tools to standardize privacy enforcement across the technology stack while implementing privacy-by-design patterns in data pipelines and machine learning systems. You will use programming languages such as Python, Go, Java, Scala, C++, or Rust to translate legal and compliance requirements into technical specifications. This role addresses the challenge of making privacy-by-design practical and scalable within a regulated financial services and AI lending marketplace environment.

What you'll do

  • Design, build, and operate privacy engineering services for data governance, anonymization, and auditability.
  • Implement privacy-by-design patterns and data minimization controls across products and machine learning systems.
  • Build APIs, libraries, and developer tools to standardize privacy enforcement across the technology stack.
  • Translate privacy requirements from legal and compliance teams into clear technical specifications.
  • Conduct privacy reviews, data flow assessments, and technical risk assessments for new products.
  • Improve the reliability and observability of privacy systems through testing, monitoring, and documentation.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • 3+ years of experience in software engineering.
  • Experience building and operating production software systems using languages such as Python, Go, Java, Scala, C++, or Rust.
  • Experience building APIs, microservices, libraries, or backend services for data governance, privacy controls, security controls, or data platform capabilities.
  • Experience with at least two privacy or security domains such as anonymization, pseudonymization, data retention, deletion, data lineage, access control, encryption, audit logging, or data minimization.
  • Experience translating privacy, security, compliance, or data protection requirements into software systems or technical workflows.
  • Knowledge of privacy-by-design principles, privacy-enhancing technologies, purpose limitation, consent, retention, deletion, and data subject rights (preferred).
  • Experience with data governance systems, machine learning systems, financial services, or other regulated data environments (preferred).

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