Software Engineer II, Data Pipelines

Meta's mission is to give people the power to build community and bring the world closer together. Through its family of apps and services, the company connects billions of people worldwide, providing ways to share what matters most and helping bring people closer together. The Safe Ads Experiences (SAE) team is building the next-generation data collection platform SPECTRA (Scalable Platform for Enhanced data Collection, Targeted sampling and Rater Assistance) to shape the future of how human-labeled data is collected and used in the company's systems. This work will define the future of responsible advertising and meaningfully impact users, advertisers, the company, and regulators. This role offers the opportunity to influence how advertising experiences, user data privacy, and public trust are shaped through data-driven insights.

Preferred Qualifications:

Location Requirements

Responsibilities

Qualifications

About Cincinnatus

Equal Employment Opportunity

Meta's mission is to give people the power to build community and bring the world closer together. Through its family of apps and services, the company connects billions of people worldwide, providing ways to share what matters most and helping bring people closer together. The Safe Ads Experiences (SAE) team is building the next-generation data collection platform SPECTRA (Scalable Platform for Enhanced data Collection, Targeted sampling and Rater Assistance) to shape the future of how human-labeled data is collected and used in the company's systems. This work will define the future of responsible advertising and meaningfully impact users, advertisers, the company, and regulators. This role offers the opportunity to influence how advertising experiences, user data privacy, and public trust are shaped through data-driven insights. Preferred Qualifications: Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

• Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform, ensuring robust end-to-end functionality and meeting 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 SPECTRA 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 SPECTRA's multi-review and quality monitoring systems
• Support smart sampling initiatives and targeted data collection strategies that deliver significant cost savings and improved data quality across advertising systems
• 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
• Degree 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 big plus
• Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations
• Prior experience working with the company or its internal tools is a plus