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Software Engineer, Data Systems (Python)

Northbeam

Salary not specified
Nov 20, 2025
Remote, US
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Northbeam is building the world’s most advanced marketing intelligence platform for growth. Our attribution modeling technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably. Northbeam’s business has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced engineer to accelerate their growth and contribute to a rapidly-scaling company.

Requirements

  • 5+ years of experience in data engineering, software engineering, or integration engineering, with a focus on ETL, APIs, and data pipeline orchestration.
  • Strong proficiency in Python
  • Experience with API-based ETL, handling REST, GraphQL, Webhooks
  • Experience implementing authentication flows
  • Proficiency in SQL and BigQuery
  • Experience with orchestration frameworks (e.g., Airflow) to manage and monitor complex data workflows.
  • Familiarity with containerization (Docker, Kubernetes) to deploy and scale workloads.

Responsibilities

  • 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.

Other

  • Curiosity, willingness to do the hard thing, attention to developer ergonomics, and an enjoyment of a startup pace of development will be the key to success in this role.
  • Travel to meet with the team
  • Growth mindset - we’re always learning and growing
  • Customer focus - we want to make the customer happy with our product
  • Ownership mentality - we think like owners in the business