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About Spotify

The ultimate destination for music and podcasts

🏢 Tech, Media👥 1001+ employees📅 Founded 2006📍 Norrmalm, Stockholm, Stockholms län💰 $2.1b⭐ 4

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Key Highlights

180 million+ paying subscribers worldwide
$2.1 billion raised in Series G funding
Acquired Gimlet Media, Anchor, and Parcast for podcasting
Headquartered in Norrmalm, Stockholm with 1001+ employees

Spotify, headquartered in Norrmalm, Stockholm, is a leading commercial music streaming service with over 180 million paying subscribers globally. Founded to combat music piracy, Spotify has raised $2.1 billion in funding and is currently in its Series G stage. The platform not only offers a vast cat...

🎁 Benefits

Spotify offers global parental leave with six months of fully paid time off for new parents, flexible public holidays to align with personal values, a...

🌟 Culture

Spotify's culture is rooted in its mission to support creative artists while providing an accessible platform for fans. The company values innovation ...

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Backend Engineer - Data Infrastructure

Spotify • New York, NY

Posted 1w ago🏛️ On-Site Mid-Level Backend engineer 📍 New york

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Skills & Technologies

Olap Data visualization Cloud

✨ AI Summary

Spotify is looking for a Backend Engineer to join their Data Infrastructure team. You'll work on building analytics tools and improving data reliability across various teams. This role requires experience with OLAP capabilities and data visualization.

Job Description

Spotify is looking for a Backend Engineer to join our Data Infrastructure engineering organization. You will forge new ground in how we help teams at Spotify build analytics for internal and Music industry facing tools. Our platform enables capabilities that include showing artists how many streams their latest release has to informing internal teams about their cloud resource usage.

As a part of a platform team, you will help exemplify, measure and raise the reliability of data infrastructure of squads across different verticals within Spotify. You’ll work closely with engineers to provide OLAP capabilities to build dynamic, reliable data visualizations and share responsibility with them in diagnosing, resolving, and preventing production issues. We are strong believers in engineering teams taking operational responsibility for their products and work hard to support them in this.

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