Staff Data Engineer, Ads

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.

Accountabilities:

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

How Jobgether works:

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!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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