Data Engineer - Creator Promotion
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!What You'll Do
- Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Storm, Spark and the Google Cloud Platform: Dataflow, GCS, BigQuery, etc.
- Work with Product to conceptualize and implement new ways of understanding the interplay between user satisfaction, track performance and artist needs.
- Leverage best practices in continuous integration and delivery.
- Help drive optimization, testing and tooling to improve data quality.
- Collaborate with other engineers, product managers, experts and stakeholders, taking learning and leadership opportunities that will arise every single day.
- Work in cross functional agile teams to continuously experiment, iterate and deliver on new product objectives.
Who You Are
- You have at least 3+ years of professional experience working in a product-driven environment.
- You know how to write distributed data pipelines in Java or Scala.
- You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable and Cassandra
- You are knowledgeable about data modeling, data access, and data storage techniques.
- You care about agile software processes, data-driven development, reliability, and responsible experimentation.
- You understand the value of collaboration within teams.
- You care about making your team the best version of itself through mentorship and constructive accountability.
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
- 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
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.
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 BigQuery Bigtable Cassandra Dataflow Data pipelines Data quality Distributed Systems GCP Google Cloud Hadoop Pipelines Scala Spark Streaming Testing
Perks/benefits: Career development
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