Staff Data Engineer, Ads
Within the United StatesFull-TimeStaff
Salary248,000 - 279,000 USD per year
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLETLMachine LearningAirflowData engineeringBigQuerydbt
Requirements
- 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
Responsibilities
- 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
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