Staff Data Engineer, Ads in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer, Ads in the United States.

This role sits at the intersection of large-scale data engineering, advertising technology, and machine learning infrastructure within a high-traffic consumer platform. You will define and drive the technical strategy behind ads data systems that power targeting, ranking, measurement, and experimentation at massive scale. Working across Data Science, Product, Engineering, and Sales teams, you will build and optimize the foundational pipelines and datasets that shape advertising performance and user experience. The environment is fast-moving and highly collaborative, with a strong emphasis on ownership and technical excellence. You will also contribute to advancing data quality, observability, and reliability across billions of data events. This is a high-impact role where your architectural decisions directly influence revenue, advertiser outcomes, and platform trust.

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

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

• 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