Experienced Data Engineer, Talk

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Talk Mission is responsible for building the best tools for audio creators. We have three platforms that help us deliver a great creator experience: Anchor - the platform that allows you to create, distribute, monetize, and grow a podcast, all for free, Spotify for Podcasters - the platform that makes it easy to understand and engage with your listeners on Spotify, and Greenroom - the platform that allows anyone to stream or listen to live audio.

About the team

We are looking for thoughtful, well-rounded engineers to join our team and help build tools that hundreds of thousands of podcast creators use every month, powering 80% of all new podcasts globally. You will join a healthy and collaborative team, continuously improving our engineering practices and delivering innovative technology, all while keeping it fun.

We've done a lot already, and we have no plans of slowing down. Come help us build the future of audio!

What you'll do

• Build large-scale event processing systems, as well as batch data pipelines using frameworks like Scio
• Create ETL/ELT jobs to import and transform data within our data warehouse (BigQuery)
• Use best practices in continuous integration and delivery
• Help drive optimization, testing and tooling to improve data quality
• Collaborate with other software engineers and stakeholders, taking learning and leadership opportunities that will arise every single day
• Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives!

Who you are

• You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, DynamoDB, or Cassandra
• You know how to write distributed, high-volume services - experience with Java or Scala is a plus
• You are knowledgeable about data modeling, data access, and data storage techniques.
• You appreciate agile software processes, data-driven development, reliability, and responsible experimentation
• You understand the value of partnership within teams
• We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music

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 Americasregion 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 instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

Our global benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse.
• Flexible share incentives letting you choose how you share in our success.
• Global parental leave, six months off - fully paid - for all new parents.
• All The Feels, our employee assistance program and self-care hub.
• Flexible public holidays, swap days off according to your values and beliefs.
• Spotify On Tour, join your colleagues on trips to industry festivals and events.