Software Engineer, Data Systems – Python

November 19

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Northbeam

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eCommerce • SaaS • Artificial Intelligence

Northbeam is a marketing intelligence platform that specializes in multi-touch attribution and media mix modeling, powered by machine learning, to enhance profitable growth. The platform offers tools like omnichannel planning, real-time data analytics, and creative analytics to optimize ad spends, improve cross-channel performance, and drive growth for ecommerce brands. Trusted by top brands, Northbeam provides data-driven insights into customer journeys and ad performance with a focus on first-party data. Its solutions help businesses understand conversion paths, optimize budget mixes, and tackle creative fatigue for maximum return on ad spend.

11 - 50 employees

Founded 2020

🛍️ eCommerce

☁️ SaaS

🤖 Artificial Intelligence

💰 $15M Series A on 2022-08

📋 Description

• 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.

🏖️ Benefits

• Equity package • Generous base salary • Healthcare Benefits (medical, dental, vision) • Travel to meet with the team • Flexible PTO Policy • 12 Company Paid Holidays