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# Software Engineer, Data Processing

- **Company:** Mondo, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $249,600
- **Contract:** Permanent contract
- **Skills:** HTML, Artificial Intelligence, Amazon S3, Data Analysis, Cloud Storage, Identity and Access Management, Information Retrieval, JSON, Python (Programming Language), Software Engineering, Extensible Markup Language (XML), Data Processing, Data Storage Technologies, Retrieval-Augmented Generation, Delivery Pipeline, Claude, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_5a07004c8ed7f6f9a0e924c2414bbeb8

## About the Role

* 5+ years of software engineering experience with a focus on data pipelines
 * Strong proficiency in Python
 * Hands-on experience with PII handling, detection, and anonymization
 * Experience working with large, messy, semi-structured datasets
 * Familiarity with cloud storage and access control patterns (e.g., S3, GCS, IAM)
 * Experience with data quality validation and monitoring
 * Ability to work independently with strong attention to detail
 * Experience using AI-assisted coding tools (e.g., Claude) with sound judgment

Nice-to-Haves

 * Background in data privacy or legal/compliance environments
 * Experience building internal data tools or self-serve platforms
 * Exposure to information retrieval, search, or RAG systems
 * Experience in high-scale or tech-forward organizations

## Description

Role: Software Engineer, Data Processing & Privacy. Location: Remote (PST). Start date: ASAP. Contract duration: 6+ months., Design and maintain data processing pipelines that transform raw datasets into structured, privacy-safe outputs for advanced research applications.

Day-to-Day Responsibilities

 * Build and extend data processing pipelines for new data sources
 * Ingest and normalize diverse data formats (JSON, NDJSON, HTML/XML, code, archives)
 * Implement PII detection and de-identification processes
 * Perform data quality QA using automated checks and assisted review tools
 * Troubleshoot issues, iterate on feedback, and reprocess datasets
 * Develop internal tools for auditing, monitoring, and data exploration
 * Manage data storage, access controls, and delivery pipelines
 * Document processes and improve pipeline efficiency over time