Senior Software Engineer, Data Systems – Python

🕒 Junho 8

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Northbeam

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2020

📣 Marketing

📦 Logística

💼 Consultoria

💰 $15.000.000 Series A em 2022-08

Marketing • Logistics • Consulting

Northbeam é uma plataforma de inteligência de marketing que se especializa em atribuição multi-toque e modelagem de mix de mídia, impulsionada por aprendizado de máquina, para aumentar o crescimento lucrativo. A plataforma oferece ferramentas como planejamento omnichannel, análise de dados em tempo real e análise criativa para otimizar gastos com anúncios, melhorar o desempenho entre canais e impulsionar o crescimento de marcas de comércio eletrônico. Confiada por grandes marcas, a Northbeam fornece insights baseados em dados sobre jornadas de clientes e desempenho de anúncios, com foco em dados primários. Suas soluções ajudam as empresas a entender caminhos de conversão, otimizar mixes de orçamento e enfrentar o cansaço criativo para obter o máximo retorno sobre o investimento em anúncios.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• equity package • comprehensive healthcare benefits (medical, dental, and vision) • 401(k) plan • flexible PTO policy • 12 company-paid holidays • 12 weeks of paid parental leave • $500 work-from-home stipend