Staff Data Engineer - Personalization
Boston, MA
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!Spotify is looking for a Staff Data Engineer to join the team. You will engineer solutions that bring music and media experiences to hundreds of millions of users and creators by matching fans with creators in a personal and relevant way. You will seek sophisticated data problems using some of the most diverse datasets — user behaviors, acoustical analysis, revenue streams, cultural and contextual data, and other signals across a range of platforms. Above all, your work will change the way the world experiences art!
Who You Are
- You are the experienced leader that team members go to for help leveling-up their skills in data engineering and more.
- You have worked with large-scale and high-volume heterogeneous data using distributed systems.
- You have used high-level JVM-based processing frameworks such as Apache Beam, Dataflow, Crunch, Scalding, Storm, Spark, or similar - but not just Pig/Hive/BigQuery SQL-like abstractions.
- You have used message broker services (pub-sub pattern) such as Kafka, ActiveMQ, AWS SQS, Google PubSub or similar.
- You understand data modeling, data access, and data storage, caching, replication, and optimization techniques.
- You have worked in a cloud-native development (GCP preferred).You have worked in a CI/CD environment.
- You have experience with agile software processes, data development, reliability, and responsible experimentation.
- You are comfortable with distributed teams and asynchronous communication.
What You'll Do
- Influence, coach and mentor other Data Engineers. Be a leader, making your team a continuously better version of itself.
- Architect large-scale batch and real-time data pipelines with data processing frameworks like Scio, Dataflow and the Google Cloud Platform.
- Deliver scalable, testable, maintainable, and high-quality code.Create testing and tooling to improve data quality.
- Work in an agile engineering team to continuously experiment, iterate and deliver.
- Share knowledge, promote standards, collaborate with engineers and product managers.
- Assist with the setting of technology strategy and influence work across teams and product areas.
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.
- You will be working with a team that is largely based in Boston and New York. We collaborate within the Eastern Standard time zone and ask that you be comfortable with that.
- 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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS BigQuery CI/CD Dataflow Data pipelines Distributed Systems Engineering GCP Google Cloud Kafka Pipelines Spark SQL Streaming Testing
Perks/benefits: Equity
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