Senior Data Engineer

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Beam Impact

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🛍️ Comércio Eletrônico

🤝 B2B

eCommerce • B2B • Marketing

A Beam Impact é uma plataforma de marketing de ponta a ponta, orientada por valores, que ajuda marcas de consumo a adquirir e reter clientes transformando compras em um impacto social palpável e gamificado. O produto SaaS integra-se com plataformas de comércio (Shopify e outras) e pilhas de marketing para mostrar o acompanhamento do impacto em tempo real, selecionar parceiros sem fins lucrativos avaliados, automatizar mensagens desencadeadas e compartilhamento social, além de fornecer relatórios de ROI e suporte estratégico. A Beam se concentra em aumentar a conversão, AOV, inscrições de assinatura e retenção para as marcas, gerindo a conformidade e os fluxos de doações.

Descrição

• Design and plan new platform data solutions through collaboration with our Staff Data Engineer, product team, and internal stakeholders using RFC and Tech Spec documents • Collaborate with your peers to execute and implement high-quality software • Collaborate with your peers to assist in planning and execution of new software features, bringing a focus on data platform requirements • Drive the execution of your work from spec document to delivery through our SDLC • Grow your skillset and be a force multiplier by sharing knowledge through code reviews, pair programming, 1-1 conversations, and broader team trainings • Develop subject matter expertise in the Beam data ecosystem and our reporting platform through code development, directly supporting our Client Strategy team, Business Operations, and our partners • Understand and strive to balance tech debt with practicality while designing solutions • Gain knowledge of the nonprofit giving and e-commerce enablement spaces • Foster a team culture around Beam’s values of community, inclusivity, care, accountability and support • Strive for continuous improvement through goal setting, feedback, and other growth opportunities

🎯 Requisitos

• 4+ years as a Data Engineer or Senior Data Engineer utilizing Python and SQL to develop data intensive applications or insights, or 5+ years of experience as a Software Engineer using Python and SQL, working in a primarily Python codebase • Experience working on production-level data systems in a collaborative team environment • Proficient with Python and SQL • Proficient with relational databases, particularly PostgreSQL • Experience with Apache Airflow for task orchestration • Experience using a Business Intelligence tool, like Tableau • Familiar with fundamental development principles and processes such as observability, performance optimization, continuous integration, automated testing, and cloud infrastructure • Familiar with distributed computing architecture, data warehouse and data lake storage patterns • Strong communication skills with the ability to explain and advocate for technical projects to non-technical roles.

🏖️ Benefícios

• Up to 10% annual bonus based entirely on individual performance • Stock options • 50% match on 401k contributions of up to 6% of base salary • $100 monthly wellness stipend • $750 annual professional development budget