Software Engineer II

Software Engineer II – Data Pipelines for Safe Ads & Human-Labeled Data
Location: Onsite - Menlo Park, CA
Duration: 9-month contract with probable extension/conversion
Pay Rate: $85/hr on W2
Target Start: March 30, 2026
Benefits: Medical, dental, vision; paid vacation/sick leave

Our client is seeking a skilled Software Engineer II to join their Safe Ads Experiences team supporting the SPECTRA (Scalable Platform for Enhanced Data Collection, Targeted Sampling and Rater Assistance) platform.

About the Team
Our mission is to give people the power to build community and bring the world closer together. Through a family of apps and services, we are building a different kind of company that connects billions of people around the world, gives them ways to share what matters most, and helps bring people closer together. Whether creating new products or helping small businesses expand their reach, our teams are builders at heart. 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), and shaping the future of how human-labeled data is collected and used across our systems. This work helps define the future of responsible advertising and meaningfully impacts all stakeholders, users, advertisers, regulators, and the broader ecosystem. If you’re interested in making a difference in advertising experience, user data privacy, and public trust through data-driven insights, we’d love to connect.

Job Responsibilities:

• 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 (PDO) 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 guideline 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 drive cost savings and improve data quality across advertising systems.

Must-Have Qualifications:

• 2+ years' experience in SQL Development & Data Engineering: writing complex queries, data transformations, and working with large datasets in production environments
• 2+ years' experience in Python Programming: Proficient in Python for data processing, automation, and pipeline development (object-oriented principles).
• 2+ years' experience Data Quality & Troubleshooting: Strong analytical skills for debugging complex data issues, implementing solutions, and ensuring data accuracy/reliability.
• 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
• Bachelor’s degree in computer science, software engineering, or a relevant field.

Nice-to-Have Qualifications:

• 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

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.