Data Engineer Megaphone – Spotify

Full time @Spotify Career in Entertainment
  • New York, United States, New York, New York, United States View on Map
  • Post Date : January 31, 2022
  • Apply Before : May 1, 2022
  • View(s) 56
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Job Detail

  • Job ID 42022
  • Career Level Mid-Senior
  • Gender All
  • Qualifications certificate
  • Language Requirement
  • Region North America
  • Other Classifications startup
  • Special Programs y-combinator
  • Remote No
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Job Description

We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.
Our Megaphone team is looking for a Data Engineer to develop and own software solutions on our fast-paced podcast and ad services technology. This is a fantastic opportunity to join our rapidly growing Megaphone team at the center of the podcasting world.
 
What You’ll Do
 
Work closely with key partners inside and outside of the company to develop best-in-class software
Conceptualize ways to monitor and alert on ad outages
Build new distributed data pipelines across ad experience
Work across the entire ads business platform, contributing to the improvement of many different pipelines
Apply a Data centric approach to all the platforms, pipelines and engineering activities
Immerse yourself in Scala/Python engineering for better data visibility and unearth viable channels for improvement
Become proficient in Java, Scio & Luigi (if not already)
Collaborate and connect with our team of engineers to ensure all data pipelines are robust and reliable across backend, frontend and machine learning etc
 
Who You Are
 
You love Data Engineering
You are Data centric (able to morph between a Data Engineer and Data Scientist)
You have a strong understanding of data systems
You are knowledgeable and passionate about improving and building new distributed data pipelines
You are familiar with current engineering practices such as distributed architecture
You are curious about new technologies and finding uses and insights for all types of data
You have experience working on and building distributed data pipelines that ingest huge amounts of data across multiple sources and brands
You have experience working with Scala and/or Java. Scio & Luigi would be an encouraged bonus
Ad Tech experience is a plus
 
Where You’ll Be
 
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here
Working hours? We operate within the Eastern Standard time zone for collaboration

 

 
 
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
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