Data Engineer - Content Analytics
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 Data Engineer will collaborate with Data Scientists and Analytics Engineers to help us with crafting an efficient analytics datasuite, removing bottlenecks for sophisticated analytics, and empowering all end analytic users with high quality tooling. This involves building, refactoring, testing, deploying, maintaining, and documenting the current analytics tooling stack and core pipelines.
A successful candidate will have experience applying a collaborative work ethic in efficiently implementing solutions for diverse analytics teams. They'll be a bridge between engineering and strategy, who thinks in terms of how solutions and tools affect the data consumers. An effective data engineer on our team will be able to design and communicate sophisticated systems to technical and non-technical audiences with equal clarity.
What you'll do:
- Build the foundation for a core Data Engineering practice as the bedrock of the larger Content Business Analytics group.
- Develop, deploy and maintain pipelines and workflows in support of ML and Forecasting model outputs.
- You will be a primary contributor to the tooling and pipeline management layer of our Data Science environment.
- Work closely with our team of Data Scientists and Analytics Engineers to craft highly optimized data structures and pipelines for established workflows.
- Integrate with distributed data systems throughout the company.
Who you are:
- Have a degree in Computer Science or a similar field.
- 3+ years of professional software engineering and programming experience (SQL, Java, C++, Scala, Python)
- 3+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems
- Strong analytical and problem-solving ability with advanced written and verbal communication skills
- Advanced coding skills, experience in distributed systems, functional principles & performance optimization
- T-Shaped. Your primary area is data engineering but you are comfortable with second areas such as data presentation, backend engineering or front-end development
- Some professional experience working in an agile environment
- Comfortable with tackling very loosely defined problems, especially when working on a team that has autonomy in their day to day decision
- Have performed an analysis of large datasets in a cloud based-environment, preferably with an understanding of Google’s Cloud Platform
- Experience with Google Cloud Platform is beneficial
- Additional skills as a plus: Experience with Data Build Tool (dbt). Hands-on experience with cloud provider integration and automation via CLIs and APIs.
Where you'll be:
- We are a distributed workforce enabling our band members to find a work mode best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location. The East Coast tri-state area is preferred, but not required.
- 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
#remote
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.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This role is not eligible for hire in Colorado, USA.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Business Analytics Computer Science Data Analytics Distributed Systems Engineering GCP Google Cloud Machine Learning Pipelines Python Scala SQL Streaming Testing
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