Senior Data Engineer - Platform Mission
New York City
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!
The Platform team crafts the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many fields, we work to make the business work, creating the frameworks, capabilities, and tools needed to welcome a billion customers. Join us and help to amplify efficiency, quality, and innovation across Spotify.
We are looking for a Senior Data Engineer to join a team within the Platform organization whose mission is to improve the user experience for dataset producers and consumers through the development, implementation, and promotion of "Golden Dataset" data quality standards. Golden Datasets are key foundational datasets that support important Spotify features and are essential for our business. It is a new and exciting program where you will get the chance to work with experienced data engineers across Spotify, driving improvements in data quality at the source.
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.
This position is not eligible to be performed in Colorado.
We are looking for a Senior Data Engineer to join a team within the Platform organization whose mission is to improve the user experience for dataset producers and consumers through the development, implementation, and promotion of "Golden Dataset" data quality standards. Golden Datasets are key foundational datasets that support important Spotify features and are essential for our business. It is a new and exciting program where you will get the chance to work with experienced data engineers across Spotify, driving improvements in data quality at the source.
What you'll do:
- Work with teams across Spotify, providing them with hands-on support to improve the quality of their data
- Shape and define standard methodologies for data production and consumption in areas such as data modeling, integrity controls, documentation, and interface stability, versioning and change management
- Initiate and drive improvements through company-wide programs and certification processes related to code and data quality
- Identify and automate quality program criteria to ensure scalable quality across the organization
- Help map the landscape of Spotify data entities, focusing on foundational datasets that support critical features, leading to a well-established catalog of entities and improving the overall quality of their data
Who you are:
- Have strong coding skills, preferably in Scala, Python, and Java
- Strong experience in SQL, primarily BigQuery dialect
- You have experience with JVM-based data processing frameworks such as Beam and Spark
- Knowledgeable about data modeling, data access, and data storage techniques and are passionate about defining and evangelizing their standard methodologies
- You are adept at building positive relationships with colleagues and multiple stakeholders
- Able to adapt quickly to different teams and environments, being able to switch context quickly while maintaining productivity and effectiveness
- Care deeply about code and data quality and voicing support for its best practices
- You are self-driven and able to draw on your experience to identify, codify, and promote best practices for data quality across a large data engineering organization
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 and is within working hours.
- Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone.
- 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.
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.
This position is not eligible to be performed in Colorado.
Tags: BigQuery Engineering Python Scala Spark SQL Streaming
Perks/benefits: Career development
Region:
North America
Country:
United States
Job stats:
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Category:
Engineering Jobs
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