To enhance and maintain robust data processing and storage pipelines, the full-time remote Senior Data Engineer II will design, build, and automate scalable data systems while collaborating with cross-functional teams to drive real-time analytics and machine learning initiatives. Key responsibilities Design, build, and maintain scalable, distributed data pipelines and systems for real-time analytics and ML Automate, test, and harden data workflows to ensure reliability at scale Collaborate with product, analytics, and data science teams to turn data into value Required qualifications 5+ years of experience working with high volume data infrastructure Deep expertise with a modern cloud data warehouse or lakehouse platform (Databricks preferred) Proficient in Python and SQL, with the ability to write and optimize complex queries Hands-on experience with dbt and large-scale data processing using Spark and/or Presto/Trino BS in Computer Science, Information Systems, or a related quantitative field