Software Engineer, Data Processing
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-05-01
Listing for:
Mondo
Full Time
position Listed on 2026-05-01
Job specializations:
-
Software Development
Data Engineer, Software Engineer, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Overview
Role:
Software Engineer, Data Processing & Privacy.
Location:
Remote (PST).
Start date:
ASAP. Contract duration: 6+ months.
Job Title: Software Engineer, Data Processing & Privacy
Location-Type: Remote (PST)
Start Date Is: ASAP
Duration: 6+ months (contract)
Compensation Range: $120-$200/hr W2
Benefits: Eligible for Health, Dental, Vision, 401K
Not eligible for Visa sponsorship
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
- 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
- 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
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