Northbeam

Backend Engineer

• Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources, ensuring reliability, observability, and maintainability.
• Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems.
• Work with event-driven and batch processing architectures, ensuring data freshness and consistency at scale.
• Drive clean API design and integration patterns that support both real-time and batch ingestion while handling diverse authentication mechanisms (OAuth, API keys, etc.).
• Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues, ensuring transparency and reliability.
• Optimize data flows and transformations, balancing cost, efficiency, and rapid development cycles in a cloud-native environment.
• Collaborate with data engineering, infrastructure, and product teams to create an integration platform that is flexible, extensible, and easy to onboard new sources.

Senior Software Engineer, Data Systems – Python

Data Scientist

• Develop and evolve statistical and causal inference methodologies that strengthen the rigor and reliability of Northbeam’s marketing measurement products
• Enhance the accuracy, robustness, and scalability of existing MMM pipelines
• Write production-quality Python and SQL, collaborating closely with Engineering to integrate statistical workflows into scalable systems
• Rigorously assess model assumptions, identify potential sources of bias, and implement mitigation strategies
• Debug data and modeling issues in production and improve the reliability of customer-facing results
• Translate complex statistical reasoning into clear, decision-ready insights for internal stakeholders and customers

Senior Software Engineer, Data Systems – Python

Senior Software Engineer, Data Systems – Python

Staff Data Scientist