Data Engineer – Financial Machine Learning

Spotify

Job Overview

What you’ll do

  • Contribute to designing, building, evaluating, shipping, and refining data pipelines used for ML models and various other tools.
  • Collaborate with a cross functional agile team spanning data engineering, data science, product management, and business stakeholders to build new data ingestion and transformation systems and help improve existing ones.
  • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users.
  • Help drive optimization, testing, and tooling to improve quality of our data.
  • Be part of an active group of data scientists and machine learning practitioners in New York and Stockholm.
  • Who you are

  • You have a strong background in engineering, with experience and expertise in distributed systems and distributed computation.
  • You have hands-on industry experience implementing production data pipelines at scale in Python, Scala, or similar languages. Experience with XGBoost, TensorFlow and machine learning frameworks is also a plus.
  • You have experience with data pipeline tools such as Google Dataflow, Apache Beam/Scio, Spark, Flink or similar, and cloud platforms like GCP or AWS.
  • You have experience working, building and deploying containerized services.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
  • You love your customers even more than your code!
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