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Role Description

This role focuses on building and improving large-scale data collection systems used to support responsible advertising and high-quality machine learning datasets.

• Contribute to the development of data pipelines, monitoring systems, and data quality tools that support large-scale advertising infrastructure and analytics platforms.

Key Responsibilities

• Data Pipeline Development
  • Design and implement large-scale data processing pipelines using SQL and Python
  • Build systems that support data collection, transformation, and monitoring workflows
  • Develop scalable data architectures that support high-volume data processing
• Platform Development & Monitoring
  • Build dashboards and visualization tools that provide insights into data quality and system performance
  • Implement monitoring systems and automated alerts to detect issues in data pipelines
  • Create end-to-end testing frameworks to ensure reliability and data integrity
• Data Quality & Debugging
  • Debug complex data flow issues across distributed data systems
  • Identify root causes of data inconsistencies and implement long-term solutions
  • Maintain platform reliability and ensure consistent data quality
• Cross-Functional Collaboration
  • Work closely with engineering teams, product managers, and data specialists
  • Coordinate with labeling teams and vendor partners involved in data collection operations
  • Support targeted data collection strategies and performance optimization initiatives

Qualifications

• Professional experience working with SQL and large production datasets
• Proficiency in Python for data processing, automation, and pipeline development
• Experience building data engineering pipelines including ETL workflows and data modeling
• Experience creating dashboards or data visualization tools such as Tableau or similar platforms
• Strong analytical and problem-solving skills

Preferred Qualifications

• Degree in Computer Science or a related technical field
• Experience working with machine learning datasets and model training pipelines
• Experience building scalable data platforms or distributed systems
• Experience working on privacy-sensitive or advertising-related systems
• Experience working with human labeling or data annotation workflows

Why This Opportunity

• Work on high-impact data systems supporting global advertising platforms
• Contribute to infrastructure that improves data quality and responsible AI systems
• Collaborate with engineers, data scientists, and product teams
• Gain experience working on large-scale data infrastructure used in production environments

Contract Details

• Full-time contract role
• Fully remote with U.S. location requirements
• Competitive hourly compensation
• Opportunity to work on high-impact infrastructure within a leading technology organization

About the Platform

This opportunity is available through a leading AI-driven work platform.