Senior Software Engineer, Data Systems (Python)

Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data. The Senior Software Engineer, Data Systems will work with a cross-functional team to design and implement scalable data pipelines and maintain APIs for data integrations, ensuring data reliability and performance.

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

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
• Ability to drive rapid development while ensuring maintainability, balancing short-term delivery needs with long-term platform stability
• Detailed understanding of authentication mechanisms (OAuth 2.0, API keys, secrets management) and secure multi-tenant architectures
• Experience working with ERP systems, CRMs, CDPs, or complex other enterprise data tools and their APIs
• Exposure to event-driven architectures and real-time data processing tools
• Knowledge of data governance, compliance (GDPR, SOC2), and security best practices for handling sensitive data
• Experience working in a multi-tenant SaaS or large-scale data-intensive environment