Senior Data Engineer

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Beam Impact

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11 - 50 employés

💼 Conseil

📦 Logistique

🛍️ eCommerce

Consulting • Logistics • eCommerce

Beam Impact est une plateforme marketing de bout en bout, axée sur les valeurs, qui aide les marques grand public à acquérir et fidéliser les clients en transformant les achats en impact social tangible et ludique. Le produit SaaS s'intègre aux plateformes de commerce (Shopify et autres) et aux ensembles d'outils marketing pour montrer le suivi d'impact en temps réel, sélectionner des partenaires associatifs vérifiés, automatiser les messages déclenchés et le partage social, et fournir des rapports sur le retour sur investissement et un soutien stratégique. Beam se concentre sur l'augmentation du taux de conversion, de la valeur moyenne des commandes, des inscriptions aux abonnements et de la fidélisation des marques tout en gérant la conformité et les flux de dons.

Description

• 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

🎯 Exigences

• 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.

🏖️ Avantages

• 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