Data Engineer II – Gen AI, Music

🕒 March 31

🗽 New York – Remote

🗽 New York – Remote

💵 $125.3k - $179k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

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