Data Engineer - Data Platform at Kraken

This role is for a seasoned engineer with at least five years of experience who is comfortable navigating high-volume data ecosystems using Python, Scala, and Spark. You should have a solid background in architecting data lakes and warehouses within cloud environments like AWS. **What makes it worth a look...** The major draw here is the expansive pay range topping out at $192,000 for a fully remote position. You will get to work on high-velocity streaming data at a massive scale within a globally distributed team that explicitly values crypto conviction. **You might be a good fit if you...** * Have built and scaled production ETL pipelines using Airflow. * Regularly use Spark or PySpark to process massive, complex datasets. * Know how to navigate AWS tools like Glue, Athena, and Presto. * Understand data modeling best practices for both internal stores and external integrations.