We are sharing a specialised remote opportunity for experienced Software Engineers to contribute to a next-generation data platform developed by a leading global technology company.
This role focuses on building and improving large-scale data collection systems used to support responsible advertising and high-quality machine learning datasets.
Selected professionals will contribute to the development of data pipelines monitoring systems and data quality tools that support large-scale advertising infrastructure and analytics platforms.
Key Responsibilities
Professionals in this role may contribute to:
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
Ideal Profile
Strong candidates may have:
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.
We are sharing a specialised remote opportunity for experienced Software Engineers to contribute to a next-generation data platform developed by a leading global technology company. This role focuses on building and improving large-scale data collection systems used to support responsible advertisin...
We are sharing a specialised remote opportunity for experienced Software Engineers to contribute to a next-generation data platform developed by a leading global technology company.
This role focuses on building and improving large-scale data collection systems used to support responsible advertising and high-quality machine learning datasets.
Selected professionals will contribute to the development of data pipelines monitoring systems and data quality tools that support large-scale advertising infrastructure and analytics platforms.
Key Responsibilities
Professionals in this role may contribute to:
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
Ideal Profile
Strong candidates may have:
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.
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