Senior Data Privacy Engineer – Backend & LLM

Decagon; New York (NY); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life Insurance

Disability Benefits

Retirement Plan

Parental Leave

Fertility benefits

Wellness stipend

Office lunches

Flexible vacation

Job summary

Decagon is hiring for a role in Data Lifecycle responsible for designing and building platform infrastructure to control how data is collected, retained, redacted, and deleted. You’ll work with product management, governance, and security to translate customer requirements into robust privacy guarantees and scalable solutions.

Engineers own features end to end, from architecture through deployment, with emphasis on protecting sensitive data and ensuring reliable operation across enterprise

Qualifications

• 4+ years building software products, with strong product thinking.
• Proficient in Python, comfortable working across the entire stack.
• Experience designing reliable backend systems and data pipelines, including asynchronous processing, retries, and failure recovery
• Understanding of what operational maturity looks like for critical systems, including observability and monitoring
• Complex systems instincts: you can reason about where data flows, where copies persist, and what happens when one part of a workflow fails
• A high degree of comfort debugging system failures in deep technology stacks, using whatever tool gets you to the answer
• Judgment about when to ship fast and when correctness, privacy, and irreversible operations require slowing down

Responsibilities

• Build PII handling and redaction systems that identify and protect sensitive information across conversations, agent traces, and other customer data
• Design configuration abstractions for redaction and retention policies that balance enterprise flexibility with clear, safe defaults
• Build reliable data deletion workflows that propagate across storage systems and derived data, with retries, verification, and visibility into failures
• Build self-serve tools and APIs that let customers configure, test, and understand their data lifecycle policies without relying on an engineer
• Build LLM-backed systems that scan and detect data anomalies and violations
• Train and/or tune models for detecting data of various forms (including PII and PHI)
• Extend redaction and identification to multimodal agents, including images, attachments, voice notes, and documents.
• Build monitoring and auditability that make it clear what data was processed, what remains, and where a policy has failed—without exposing sensitive information in the process
• Handle data lifecycle systems at scale, including backfills, partial failures, and safe rollouts; your work will touch critical flows for Fortune 100 companies

Skills

Python

Backend design

Data pipelines

Observability

System debugging

Decision making

Product thinking

Job description

Decagon is hiring for a role in Data Lifecycle responsible for designing and building platform infrastructure to control how data is collected, retained, redacted, and deleted. You’ll work with product management, governance, and security to translate customer requirements into robust privacy guarantees and scalable solutions.

Engineers own features end to end, from architecture through deployment, with emphasis on protecting sensitive data and ensuring reliable operation across enterprise