Staff Data Engineer, Ads

You will be responsible for designing, building, and evolving large-scale data systems that support advertising products, ensuring they are scalable, reliable, and optimized for performance. You will define technical direction for ads data infrastructure and contribute to long-term architectural decisions.

• Build and maintain enterprise-grade data pipelines, ETL workflows, and foundational datasets supporting ads delivery, targeting, and measurement
• Develop and optimize data models, analytical frameworks, and feature pipelines that support machine learning and ranking systems
• Design and implement data quality, monitoring, and anomaly detection systems across high-volume datasets
• Partner with Data Science, ML Engineering, Product, and Business teams to deliver data-driven solutions end-to-end
• Lead cross-functional technical initiatives and drive execution of complex data engineering projects
• Mentor engineers and help establish best practices for scalable, high-performance data systems
• Balance immediate product needs with long-term infrastructure evolution and technical strategy

Requirements:

The ideal candidate brings deep experience in large-scale data engineering within advertising or consumer-scale systems, with strong technical fluency and a track record of building production-grade data infrastructure. You are comfortable working in ambiguous environments and collaborating across technical and business functions.

• 7+ years of experience in data engineering, with strong focus on advertising technology, ad delivery, targeting, or measurement systems
• Extensive hands-on experience designing and maintaining complex data pipelines handling high-volume structured and unstructured data
• Expert-level proficiency in SQL and Python, with experience in modern data engineering frameworks and tooling
• Strong background in building data systems for ad tech, including conversion tracking, ad ranking, or third-party data integrations
• Proven experience implementing data quality frameworks, monitoring systems, and automated remediation at scale
• Familiarity with modern data stack tools such as Airflow, dbt, Dagster, BigQuery, or equivalent
• Strong communication skills with ability to translate complex technical concepts to cross-functional stakeholders
• Collaborative mindset with a strong focus on execution, problem-solving, and engineering excellence

Benefits:

• Competitive base salary ($248,000 – $279,000 USD) plus equity and performance-based compensation
• Comprehensive health, dental, and vision insurance
• Equity participation in a high-growth technology company
• Flexible remote work environment within the United States
• Support for professional development and technical growth
• Inclusive and collaborative culture focused on innovation and engineering excellence
• Opportunity to work on large-scale systems impacting millions of users globally

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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