Data Engineer II – Gen AI, Music

🕒 Março 31

🗽 New York – Remoto

🗽 New York – Remote

💵 $125.300 - $179.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Spotify

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2008

📱 Mídia

👥 B2C

🛍️ Comércio Eletrônico

Media • B2C • eCommerce

O Spotify é uma empresa global de streaming de áudio que oferece aos seus usuários acesso a uma vasta biblioteca de músicas e podcasts. Conhecido por seu foco em proporcionar experiências de escuta personalizadas, o Spotify emprega data scientists, engenheiros e Client Partners em diversas localidades ao redor do mundo para inovar continuamente e aprimorar suas soluções. A empresa promove uma forte cultura de diversidade, equidade e impacto, enfatizando pertencimento e inclusão em sua força de trabalho. O Spotify não está apenas comprometido em moldar o futuro do entretenimento em áudio, mas também em gerar impacto positivo na sociedade, com iniciativas voltadas para questões sociais e ambientais.

Descrição

• Build and maintain large-scale data pipelines, including ML pipelines, with data processing frameworks like Scio and Python-based tools on Google Cloud Platform. • Leverage data engineering best practices in continuous integration and delivery. • Help drive optimization, testing and tooling to improve data quality and reliability. • Collaborate with engineers, product managers, subject matter experts, and stakeholders while taking on learning and leadership opportunities that arise every day. • Work in cross-functional, agile teams to continuously experiment, iterate, and deliver on new product objectives.

🎯 Requisitos

• You have at least 3+ years of professional experience working in a product-driven environment. • You have experience working with high-volume, heterogeneous data using distributed systems and big data technologies such as Python, Scala (e.g., Scio), Ray, Apache Spark, or similar frameworks used for distributed data processing. • You are proficient in designing and building distributed data pipelines in Python, Scala, or Java, with experience in frameworks like Scio on platforms such as Dataflow. • You understand data modeling, data access, and data storage techniques, and can apply them to both batch and analytical processing (e.g., using BigQuery for analysis). • You value iterative software processes, data-driven development, reliability, and responsible experimentation, with attention to cost efficiency and best practices in data engineering. • You thrive in collaborative environments and enjoy working with cross-functional teams. • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. • You are enthusiastic about learning more about turning research ideas into products operating at scale

🏖️ Benefícios

• health insurance • six month paid parental leave • 401(k) retirement plan • monthly meal allowance • 23 paid days off • 13 paid flexible holidays