Senior Data Engineer - Freemium

The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
Spotify is looking for a Senior Data Engineer to join our engineering organization. You will be a part of a messaging platform team that works on communicating with millions of people through many different channels and in-app surfaces so that their experience with Spotify is more engaging, meaningful, and useful.
You will build data-driven solutions to bring music and digital media experiences to our users and millions of artists either by working directly on product features or by improving the quality of our data tools and infrastructure. You will also seek sophisticated data-related problems using some of the most diverse datasets available — user behavior, content, cultural and contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will influence the way people experience music.

What you'll do:

• Build large-scale batch and real-time data pipelines with data processing frameworks like Scalding, Scio, Storm, Spark on Google Cloud Platform.
• Demonstrate standard methodologies in continuous integration and delivery.
• Help drive optimization, testing and tooling to improve data quality.
• Collaborate with other Software Engineers, ML Engineers, Data Scientists, and other partners, tackling learning and leadership opportunities that will arise every day.
• Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.

Who you are:

• You have 4+ years’ experience in Data Engineering and you know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
• You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, or something we didn’t list- but not just Pig/Hive/BigQuery/other SQL-like abstractions
• You are knowledgeable about data modeling, data access, and data storage techniques
• You care about and have expertise with agile software processes, data-driven development, reliability, and responsible experimentation
• You understand the value of collaboration and partnership within a team 

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 informabout about our Work From Anywhere  options here.
• Working hours? We operate within the EST/EDT 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 345 million users.