Senior Software Engineer, Northbeam

• 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
• 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
• Ability to drive rapid development while ensuring maintainability, balancing short-term delivery needs with long-term platform stability

Desirable

• High quality, robust data integration is at the core of what we do, and your work will have a direct connection to the company’s success
• We are looking for a Senior Software Engineer with experience in data integration, API-based ETL pipelines, and cloud-native architecture
• You will work with a small engineering team to create a platform that consolidates third-party data from a wide range of sources, including advertising platforms, e-commerce systems, customer data warehouses, ERP, POS, and CRM systems
• You will need to think about concerns like scalability, multi-tenancy, batch vs streaming trade-offs, data validation, API design, and more
• You will work with experienced engineers who are eager to share their knowledge and experience, and to learn alongside you
• 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
• You will work with great people who have done this many times before. You will teach them some new tricks, and maybe learn some old ones

Total funding: $15m

Traditionally in-person stores used a plethora of consultants, accountants and agencies to seek improvements that would boost their bottom line. Now, in the age of internet-enabled commerce, data richness and a totally new customer acquisition landscape has made those services irrelevant.