Director, Data Engineering – Business Data

🕒 il y a 14 jours

🏄 California, Connecticut, +5 états de plus – Distant

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $187 500 - $299 500 / an

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Zillow

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2006

🏠 Immobilier

🛍️ eCommerce

👥 B2C

💰 €4 099 999 Post-IPO Equity en 2012-12

Real Estate • eCommerce • B2C

Zillow est une place de marché immobilière et de location de biens de premier plan qui fournit des informations complètes sur les maisons, appartements et propriétés à vendre ou à louer. Elle offre aux utilisateurs des outils pour rechercher des biens, calculer les taux hypothécaires, et entrer en contact avec des agents immobiliers. La plateforme propose également des algorithmes innovants qui fournissent des Zestimates, des estimations de la valeur marchande des maisons. Zillow est une ressource incontournable pour les particuliers cherchant à acheter, vendre ou louer des propriétés, ainsi que pour les agents et courtiers qui souhaitent atteindre un public plus large.

Description

• Lead and grow a team of data engineers, providing mentorship and leadership within the function • Build the future of the data engineering practice to deliver value to internal and external stakeholders while leveraging cutting edge technologies to dramatically accelerate quality, scale, and depth of delivery • Design and implement scalable data pipelines to collect, process, and store large volumes of critical data from various sources • Drive the evolution of the Business Data platform by leveraging modern data technologies like Spark, Airflow, and Databricks • Collaborate across organizational boundaries with Product, Marketing, and Sales to convert business needs into technical requirements • Authoritatively translate business use cases into well-thought-out data models that evolve with the business

🎯 Exigences

• A degree (BS+) in Computer Science or a related field • 15+ years of work experience involving quantitative data analysis and complex problem solving • Experience working with product and GTM teams strongly preferred • 5+ years leading Data Engineering teams • Extensive experience building and maintaining data-intensive applications and sophisticated data pipelines • Strong proficiency in programming languages such as Python, Java, or Scala, and expert-level SQL • Proven experience in data modeling and working with cloud services (AWS/Azure/GCP) and leveraging AI to rethink Data Engineering delivery • Excellent communication skills with the ability to explain technical concepts to non-technical audiences.

🏖️ Avantages

• Competitive base salary • Equity awards based on factors such as experience, performance and location