Northbeam

Backend Engineer

• Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, or ads, or games. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, robust data ingest APIs, correct aggregations, and algorithmic insights on top of that data—all packaged into a user-facing application.
• High-quality, reliable data integration is at the core of what we do, and your work will directly shape the company’s success. But building great data products also means building great infrastructure: scalable systems, resilient pipelines, and reliable platforms that empower everything else.
• We are looking for a Senior Software Engineer with experience in data integration, API-based ETL pipelines, and cloud-native architecture, plus a strong interest in infrastructure engineering. You’ll help us not just ship data pipelines, but also design the systems that make them observable, secure, and resilient at scale.
• You’ll work with a small engineering team to create a platform that consolidates third-party data from advertising platforms, e-commerce systems, customer data warehouses, ERP, POS, and CRM systems. Along the way, you’ll tackle questions of scalability, multi-tenancy, system reliability, data validation, cost optimization, and developer ergonomics.
• Curiosity, willingness to do the hard thing, and an enjoyment of a startup pace of development will be the key to success in this role.
• This is a startup. The only constant is change. Early on, you can expect to:
• Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources, with reliability and observability baked in.
• Engineer the infrastructure behind those pipelines, including containerized workloads, orchestration, monitoring, and CI/CD that enables the team to move quickly without breaking things.
• Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems.
• Balance event-driven and batch processing architectures, ensuring data freshness, correctness, and cost efficiency.
• Implement observability, monitoring, and alerting to track system health, failures, and performance issues—covering both data quality and infrastructure reliability.
• Contribute to platform resilience by designing for fault tolerance, autoscaling, and graceful failure handling in a multi-tenant cloud environment.
• Collaborate across data engineering, infrastructure, and product teams to ensure that the integration platform is flexible, extensible, and easy to onboard new data sources.

Senior Software Engineer, Python, Data & Infrastructure