Spotify

Data Engineer, Data Processing

Job description

The Data Processing product area enables Spotify to solve complex and critical data engineering problems by providing the infrastructure and tools for engineers to build planet-scale data pipelines. The teams that operate in this space are a group of versatile engineers that build the foundational data processing elements of that infrastructure. The products that we own are used by data practitioners across the company to create some of our most beloved consumer products such as Discover Weekly and Wrapped.

We are looking for a data engineer that shares our common interest in building, maintaining and expanding our data processing technology offering while ensuring their scalability meets Spotify’s ever growing data needs. You’ll collaborate with product, engineering and our internal customers to build the infrastructure that empowers teams to process data at scale that solves their critical business needs. Above all, your work will impact how the world experiences audio.

What You'll Do

  • Evolve and contribute to the overall batch and stream processing tools we offer.
  • Collaborate with product owners, engineers and other squads to build features and drive improvements in the data processing ecosystem.
  • Enable the data practitioner community by improving and evolving our data engineering ecosystem at Spotify through support, best-practices and standards.
  • Help expand the data processing product and technology offering for Spotify to meet the dynamic and ever changing needs of our customers.

Who You Are

  • You are passionate about batch and stream data processing technologies.
  • You have solid programming skills and foundational data engineering knowledge.
  • You know and care about sound engineering practices such as continuous delivery, defensive programming and automated testing.
  • Quality is important to you and you know what it means to ship high-quality code.
  • You’re interested in learning about and contributing to data processing frameworks such as Beam, DataFlow and Flink to understand and debug their internals.
  • You love working in an environment where you constantly experiment and iterate quickly.You believe data is the most powerful tool for informed decision-making.

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 team members be located in 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.

The United States base range for this position is $140,246 - $175,308 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

#Data Engineer

#Backend/Data Engineer - Data Processing

#Platform

#JobSite-Featured

#JobSite-Remote-ESTAmericas

#JobSite-Sub-Data

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