Data Engineer - Megaphone
New York, NY
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!
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.
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.
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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data pipelines Engineering Machine Learning Pipelines Python Scala Streaming
Perks/benefits: Team events
Region:
North America
Country:
United States
Job stats:
3
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0
Category:
Engineering Jobs
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