Data Engineer, Marketing

You will own measurement and analysis for performance and growth marketing. You will build marketing data foundations, evaluate channel economics, design experiments, maintain media-mix models, improve predictive LTV signals, and keep attribution and pipeline-source data clean.

Responsibilities

• Build and own the measurement layer for performance marketing across channels, campaigns, audiences, geographies, and creative.
• Design incrementality tests and use results to guide budget allocation and attribution calibration.
• Maintain the media-mix model and use it with test results to guide channel investment decisions.
• Validate predictive LTV signals against realized revenue and identify drift or breakage.
• Partner with Data and Engineering to improve predictive LTV signals.
• Maintain clean, separate pipeline-source and campaign-attribution data.

Requirements

• 7+ years of experience in marketing analytics, marketing science, or data science supporting paid acquisition.
• SQL
• Python
• Data pipeline development
• Predictive modeling
• Incrementality testing
• Media-mix modeling
• Attribution modeling
• Ad-platform conversion signals
• Stakeholder communication