Senior Full Stack Software Engineer

Role overview

You’ll work as a Senior Full Stack Software Engineer building end-to-end analytics capabilities. The role focuses on attribution and measurement systems, data visualizations, and optimizing data pipelines that process large volumes of advertising data.

Key missions

• Design and optimize data pipelines for large-scale advertising datasets while maintaining low-latency query performance.
• Partner with Data Science to productionize models and surface ROI insights that help clients plan more effective campaigns.
• Manage support tickets and ensure the accuracy and reliability of analytics delivered to clients.

Responsibilities

• Build and enhance frontend analytics visualizations and backend APIs.
• Continuously improve and refine analytics infrastructure.
• Operate data ingestion and processing systems, including data pipeline optimization.
• Collaborate cross-functionally with data science teams to deliver measurable business impact.

Requirements

• 5+ years of production engineering experience building data-intensive systems and analytics products.
• Full-stack capability with strong experience in analytics and data engineering.
• Comfort working independently with a startup-minded, ownership-focused approach.
• Strong pragmatic judgment on when to ship quickly vs. invest in scalable pipelines and infrastructure.
• Analytics and product orientation: understanding measurement accuracy, user needs, and business impact.
• AI-fluent, using AI coding tools to improve productivity while maintaining code quality and ownership.

Nice-to-haves

• Experience across the provided stack or similar technologies, especially:
  • Data warehousing
  • ETL/ELT
  • Data visualization