Senior Data Engineer

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Beam Impact

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

🛍️ eCommerce

🤝 B2B

eCommerce • B2B • Marketing

Beam Impact ist eine umfassende, werteorientierte Marketingplattform, die Verbrauchermarken dabei hilft, Kunden zu gewinnen und zu binden, indem Käufe in greifbare, spielerische soziale Auswirkungen umgewandelt werden. Das SaaS-Produkt integriert sich mit Handelsplattformen (wie Shopify) und Marketing-Stacks, um Echtzeit-Impact-Tracking zu zeigen, geprüfte Non-Profit-Partner zu kuratieren, automatisierte Trigger-Nachrichten und soziale Teilungen zu ermöglichen und ROI-Berichte sowie Strategieunterstützung bereitzustellen. Beam konzentriert sich darauf, die Konversion, den Durchschnittswert der Bestellungen, die Abonnementanmeldungen und die Kundenbindung für Marken zu steigern, während Compliance- und Spendenarbeitsabläufe verwaltet werden.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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