Software Engineer, Data Processing

Mondo; San Francisco (CA); Remote; USD 165.312 - 275.520; Vollzeit

Benefits dieser Stelle

Health insurance

Dental insurance

Vision insurance

401K

Zusammenfassung

Mondo is looking for a Software Engineer specialized in Data Processing & Privacy to design and maintain data pipelines for research applications. The position is remote, requires strong Python skills, and 5+ years of software engineering experience. Key responsibilities include building data pipelines, ensuring data quality, and managing storage and access controls. Benefits include health and dental insurance, 401K, but visa sponsorship is not available.

Qualifikationen

• 5+ years of software engineering experience with a focus on data pipelines.
• Strong proficiency in Python.
• Experience working with large, messy, semi-structured datasets.

Aufgaben

• Build and extend data processing pipelines for new data sources.
• Perform data quality QA using automated checks.
• Manage data storage and access controls.

Kenntnisse

Software engineering experience

Proficiency in Python

Experience with PII handling

Data quality validation

Attention to detail

Tools

Cloud storage (e.g., S3, GCS)

AI-assisted coding tools (e.g., Claude)

Jobbeschreibung

Overview

Role: Software Engineer, Data Processing & Privacy. Location: Remote (PST). Start date: ASAP. Contract duration: 6+ months.

Job Details

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

Job Description

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

Requirements

Must-Haves

• 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