Software Engineering - Software Engineer II

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Introduction

Our mission is to empower individuals to build community and bring the world closer together. Through our family of apps and services, we're building a unique company that connects billions of people globally, providing them with ways to share what matters most and fostering closer connections. Whether we're developing new products or assisting small businesses in expanding their reach, our team members are builders at heart. Join us to make a difference in how advertising experiences are handled, ensuring user data privacy and fostering public trust through data-driven insights.

Required Skills & Qualifications

• Applicants must be able to work directly for Artech on W2
• Experience in SQL development, writing complex queries, data transformations, and working with large datasets in production environments
• Proficient in Python with experience in data processing, automation, and pipeline development using object-oriented programming principles
• Experience with data engineering pipelines including ETL processes, data modeling, and building scalable data processing workflows
• Hands-on experience with data visualization and dashboard tools such as Tableau, or similar platforms for creating actionable insights from large datasets
• Strong analytical and problem-solving skills with demonstrated ability to debug complex data issues and implement effective solutions
• Experience with data quality monitoring and automated testing frameworks to ensure data accuracy, completeness, and reliability

Preferred Skills & Qualifications

• Background in Computer Science or related field
• Machine Learning experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics
• Experience building and scaling large products or systems
• Experience with building privacy and ads related products is a plus
• Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations

Day-to-Day Responsibilities

• Drive technical implementation and testing of complex data pipeline features within the platform, ensuring robust end-to-end functionality and hitting project release timelines
• Design and develop data processing pipelines using SQL and Python to handle large-scale data collection, transformation, and quality monitoring workflows
• Build and maintain dashboards and visualization tools to provide visibility into data quality, rater performance, and platform metrics for stakeholders across multiple teams
• Create comprehensive end-to-end tests and monitoring alerts to ensure platform reliability, data integrity, and proactive identification of issues in the data collection workflow
• Debug and troubleshoot complex data flow issues across the platform, identifying root causes and implementing solutions to maintain high system availability
• Collaborate closely with Technical Leads and engineering teams to implement backend data processing logic and ensure adherence to development standards and best practices
• Partner with Product Data Operations teams to coordinate human labeling workflows, budget planning, vendor management, and rater performance optimization
• Work with Taxonomists and Data Labeling Analysts to ensure proper data classification, labeling guidelines implementation, and quality assurance processes
• Coordinate with vendor partners to support external data collection operations, ensuring seamless integration with multi-review and quality monitoring systems
• Support smart sampling initiatives and targeted data collection strategies that have delivered significant cost savings and improved data quality

Company Benefits & Culture

• Inclusive and diverse workplace culture that values and respects all individuals
• Opportunities for professional growth and development
• Collaborative and supportive team environment

For immediate consideration please click APPLY to begin the screening process with Alex. You can share your resumes at satyam.singh@artech.com