Vevo is the world's leading music video network, connecting an ever-growing global audience to high quality music video content for more than a decade. Founded by Universal Music Group and Sony Music Entertainment in 2009, Vevo offers fans worldwide a vast array of premium content to choose from, showcasing official music videos alongside a constantly developing lineup of live performances and innovative original programming. From top superstars to rising new talents, Vevo brings incomparable cross-promotional support to artists across the musical spectrum, at every stage of their careers.

Vevo has consistently evolved over the past decade to lead within today's ever-changing media landscape, embracing partnerships with a number of leading distribution platforms to deliver extraordinary content within ad-supported environments. With more than 25B views across television, desktop and mobile devices each month, Vevo brings music videos to the world – when, where, and how fans want them.  

As a data engineer at Vevo, you will extend and maintain the data pipelines that feed our ever growing data lake. Join a small autonomous team responsible for this data lake and its ingress and egress pipelines. Through this data lake and its data pipelines you will be providing immensely important data to internal business analysts, data scientists, Vevo leadership, as well as content partners in a multi-billion dollar industry.

As a member of our team, you will:

• Be responsible for designing, building and supporting components that compose the Vevo data lake and it’s pipelines
• Help build and extend our data lake by designing and implementing: data pipeline libraries and systems, internal analytics tooling / dashboards, and monitoring and alerting dashboards
• Provide support for the data pipelines including after-hours support on a rotational basis
• Work in a collaborative environment with other data engineers, data scientists, and software engineers to achieve important goals for Vevo

This describes you:

• You believe in values like effectiveness over efficiency and quality over quantity
• You desire to continuously improve your team, your product and yourself
• You have pragmatic communication and problem-solving skills
• You are opinionated yet humble

Requirements:

• BS/MS in computer science or equivalent experience in data engineering
• You love different types of data. i.e. content metadata, viewership metrics, etc.
• You love to solve difficult and interesting problems using data from various systems
• You have experience developing and maintaining software in Python
• You have experience with data pipelines that process large data sets via streams and/or batches
• You have experience in building services, capable of handling large amounts of data.
• You have experience building and maintaining tests (unit, integration, etc.) that provide necessary quality checks. TDD experience a plus
• You have experience with modern persistence stores, primarily SQL; however NoSQL experience is a plus
• You embrace best practices via pair programming, constructive code reviews, and thorough testing.
• You thrive in an environment with rapid iterations on platform features
• You're a team player and work well in a highly collaborative environment, which includes staff in remote locations

Interested? Great! You might like to know:

• We are a tight community of fun, upbeat people with a real passion for music and technology
• We have premier access to music content and new releases of original media content
• We provide excellent benefits and competitive compensation packages